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International Journal of Image Processing (IJIP)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 1985-2304
Published - Bi-Monthly   |   Established - 2007   |   Year of Publication - 2018

SUBMISSION
March 31, 2019

NOTIFICATION
April 30, 2019

PUBLICATION
May 31, 2019

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CITATION ANALYSIS

IJIP Citation Impact
(2395 - 0) / 331 = 7.236

Refer to Citation Report for 2018 for complete details.
 

ABSTRACTING & INDEXING

 
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CITATION REPORT FOR IJIP

Below calculations are based on in-process citations that are extracted through Google Scholar.


Total Citations = 2395
Self Citations = 0
Total Publications = 331


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(2395 - 0) / 331 = 7.236

 
SR
M-CODE
CITATION
1
Shi, J., Yan, Q., Xu, L., & Jia, J. Hierarchical Image Saliency Detection on Extended CSSD.
2
Panchal, T., Patel, H., & Panchal, A. (2016). License Plate Detection Using Harris Corner and Character Segmentation by Integrated Approach from an Image. Procedia Computer Science, 79, 419-425.
3
Kekre, H. B., Sarode, T., & Halarnkar, P. N. (2016). Partial Image Scrambling Using Walsh Sequency in Sinusoidal Wavelet Transform Domain. In Intelligent Systems Technologies and Applications (pp. 471-484). Springer International Publishing.
4
Savitha, S. K., & Naveen, N. C. Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images.
5
Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171.
6
Phadikar, A., Kumar, N., Phadikar, B. S., & Maity, G. K. (2016). Video summarisation using optimum global threshold technique based on genetic algorithm. International Journal of Innovative Computing and Applications, 7(1), 1-12.
7
Thamizharasi, A., & Jayasudha, J. S. (2016). An Illumination Invariant Face Recognition by Selection of DCT Coefficients. International Journal of Image Processing (IJIP), 10(1), 14.
8
Klingensmith, M., Herrmann, M., & Srinivasa, S. S. (2016). Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. In Experimental Robotics (pp. 697-713). Springer International Publishing.
9
Shaukat, A., Gao, Y., Kuo, J. A., Bowen, B. A., & Mort, P. E. (2016). Visual classification of waste material for nuclear decommissioning. Robotics and Autonomous Systems, 75, 365-378.
10
Jain, M., & Singh, D. (2016). A Survey on CBIR on the Basis of Different Feature Descriptor. British Journal of Mathematics & Computer Science, 14(6), 1.
11
Serdouk, Y., Nemmour, H., & Chibani, Y. (2016). New Off-line Handwritten Signature Verification Method based on Artificial Immune Recognition System. Expert Systems with Applications.
12
Vadali, S., Deekshitulu, G. S., & Murthy, J. V. R. (2016). Optimization of Hyperspectral Images and Performance Evaluation Using Effective Loss Algorithm. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 919-927). Springer Singapore.
13
Babu, K. S., Thyagharajan, K. K., & Ramachandran, V. (2016). Compression of Hyper-Spectral Images and Its Performance Evaluation. In Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015 (pp. 599-609). Springer India.
14
Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval.
15
Akar, A., Gökalp, E., Akar, Ö., & Yilmaz, V. (2016). Improving classification accuracy of spectrally similar land covers in the rangeland and plateau areas with a combination of WorldView-2 and UAV images. Geocarto International, (just-accepted), 1-26.Yadav, S., Rizvi, I., & Kadam, S. Comparative study of object based image analysis on high resolution s
16
Alqahtani, K. M. (2016). A Graphical Processing Unit Based on Real Time System (Doctoral dissertation).
17
Naveen, S., & Moni, R. S. (2016). Contourlet and Fourier Transform Features Based 3D Face Recognition System. In Intelligent Systems Technologies and Applications (pp. 411-425). Springer International Publishing.
18
Kedar, S., Bormane, D. S., & Nair, V. (2016). Heart Disease Prediction Using k-Nearest Neighbor Classifier Based on Handwritten Text. In Computational Intelligence in Data Mining—Volume 1 (pp. 49-56). Springer India.
19
Saaidia, M., Zermi, N., & Ramdani, M. (2016). Multiple Image Characterization Techniques for Enhanced Facial Expression Recognition. In Intelligent Systems Technologies and Applications (pp. 497-509). Springer International Publishing.
20
Perveen, N., Ahmad, N., Khan, M. A. Q. B., Khalid, R., & Qadri, S. Facial Expression Recognition Through Machine Learning.
21
Mohammed, S. N., George, L. E., & Dawood, H. A. The Effect of Classification Methods on Facial Emotion Recognition Accuracy.
22
Satyawana, S. (2016). Novel Technique for Video Segmentation and Image Matching. Science, Engineering and Technology, 59.
23
Zhang, Y. Y., Wang, Z. P., & Lv, X. D. (2016). Saliency Detection via Sparse Reconstruction Errors of Covariance Descriptors on Riemannian Manifolds. Circuits, Systems, and Signal Processing, 1-18.
24
Wu, X., Du, M., Chen, W., & Wang, J. (2016). Salient object detection via region contrast and graph regularization. Science China Information Sciences, 1-14.
25
Sun, X., Su, A., Chen, S., Yu, Q., & Liu, X. (2016). Objectness to assist salient object detection. IET Image Processing, 10(5), 391-397.
26
Raj, E. M. S., & Kumaresan, M. (2016). Boundary Detection Algorithm For Brain Tumor Position And Area Detection Using OPENCV. International Journal of Applied Engineering Research, 11(7), 5326-5331.
27
Sampurno, J., Faryuni, I. D., & Ivansyah, O. (2016, March). Automated analysis of image mammogram for breast cancer diagnosis. In THE 4TH INTERNATIONAL CONFERENCE ON THEORETICAL AND APPLIED PHYSICS (ICTAP) 2014 (Vol. 1719, p. 030036). AIP Publishing.
28
Santhosh, B., & Viswanath, K. (2016). Review on Secured Medical Image Processing. In Information Systems Design and Intelligent Applications (pp. 531-537). Springer India.
29
Tiwari, L. K., Sinha, S. K., Saran, S., Tolpekin, V. A., & Raju, P. L. (2016). Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers. Journal of Applied Remote Sensing, 10(1), 016016-016016.
30
Taniguchi, Y., Mizushima, M., Hasegawa, G., Nakano, H., & Matsuoka, M. (2016). Counting Pedestrians Passing Through a Line in Crowded Scenes by Extracting Optical Flows. International Information Institute (Tokyo). Information, 19(1), 303.
31
Enireddy, V., PhaniKumar, D. V. V. S., & Kishore, G. Application of Fisher Score and mRMR Techniques for Feature Selection in Compressed Medical Images.
32
Jain, M., & Lenka, S. K. (2016). A Review of Digital Image Steganography using LSB and LSB Array. International Journal of Applied Engineering Research, 11(3), 1820-1824.
33
Brahmbhatt, K. N., & Makwana, R. M. (2016). Implementation and Comparative Study of Image Fusion Methods in Frequency Domain. In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics (pp. 271-278). Springer India.
34
Verma, S., Wakode, J. S., & Kannurkar, P. S. Two Level Two Dimensional Wavelet Transform Based QR Code Watermarking Algorithm.
35
Norhikmah, N., Safitri, A. R., & Sholikhan, L. A. (2016). Penggunaan qr code dalam presensi berbasis android. semnasteknomedia online, 4(1), 4-7.
36
Palumbo, F., Gallicchio, C., Pucci, R., & Micheli, A. (2016). Human activity recognition using multisensor data fusion based on Reservoir Computing. Journal of Ambient Intelligence and Smart Environments, 8(2), 87-107.
37
Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval.
38
Singh, A. K. (2016). Some New Techniques of Improved Wavelet Domain Watermarking ofr Medical Images.
39
Pandey, R., Singh, A. K., Kumar, B., & Mohan, A. (2016). Iris based secure NROI multiple eye image watermarking for teleophthalmology. Multimedia Tools and Applications, 1-17.
40
Xie, C., Huang, X., Zeng, W., & Fang, X. (2016). A novel water index for urban high-resolution eight-band WorldView-2 imagery. International Journal of Digital Earth, 1-17.
41
Salas, E. A. L., Boykin, K. G., & Valdez, R. (2016). Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs. Remote Sensing, 8(1), 78.
42
Baan, F., Liebregts, J., Xi, T., Schreurs, R., de Koning, M., Bergé, S., & Maal, T. (2016). A New 3D Tool for Assessing the Accuracy of Bimaxillary Surgery: The OrthoGnathicAnalyser. PloS one, 11(2), e0149625.
43
Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11).
44
Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11).
45
Bhong, V. S., & Pawar, B. V. Study and Analysis of Cotton Leaf Disease Detection Using Image Processing.
46
López-Serrano, P. M., Corral-Rivas, J. J., Díaz-Varela, R. A., Álvarez-González, J. G., & López-Sánchez, C. A. (2016). Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data. Remote Sensing, 8(5), 369.
47
What carpet, M, happy, R., & Frydhsyny. (2016, February). The use of lidar technology to create a digital terrain model. In the First International Conference Third national conference on architecture, urban restoration and sustainable environment.
48
Hettiarachchi, R., & Peters, J. F. (2016). Voronoi Region-Based Adaptive Unsupervised Color Image Segmentation. arXiv preprint arXiv:1604.00533.
49
Suqi, A., & Lim, T. W. (2016). Detection and Identification of Objects Using Point Cloud Data for Pose Estimation. In AIAA Guidance, Navigation, and Control Conference (p. 2095).
50
Nalini, M. P., & Malleswari, B. L. Review on Content Based Image Retrieval: From Its Origin to the New Age.
51
YAO Court, in Yan & East (2016). Image retrieval method based on features of interest points. Jilin University (Science Edition), 54 (02), 323-328.
52
Roy, A., Schaffer, J. D., & Laramee, C. B. (2016). A novel approach to signal classification with an application to identifying the alcoholic brain. Applied Soft Computing, 43, 406-414.
53
Zhang, F., Wang, X., & Sun, K. (2016). A Report on Multilinear PCA Plus GTDA to Deal With Face Image. Cybernetics and Information Technologies, 16(1), 146-157.
54
Liu, C. (2016). Digits Recognition on Medical Device (Doctoral dissertation, The University of Western Ontario).
55
García Moreno, L. M., & Barandica Zemanate, E. (2016). " Implementación de realidad aumentada en planos topográficos como componente interactivo de los entornos geográficos virtuales"[recurso electrónico] (Doctoral dissertation).
56
Harinath, D., Babu, K. R., Satyanarayana, P., & Murthy, M. R. (2016). Defect Detection in Fabric using Wavelet Transform and Genetic Algorithm. Transactions on Machine Learning and Artificial Intelligence, 3(6), 10.
57
Choi, J. H., Lee, M., Kang, K., & Kim, J. O. Adaptive Color Saturation Control for Low Power RGBW OLED Displays.
58
Wang, Y., Liu, X., & Tang, Z. (2016, January). An R-CNN Based Method to Localize Speech Balloons in Comics. In MultiMedia Modeling (pp. 444-453). Springer International Publishing.
59
Luo, D., Sun, M., & Huang, J. (2016). Audio Post-processing Detection Based on Amplitude Co-occurrence Vector Feature.
60
Batool, E., Mustafa, H. O., Fatima, M., & Khan, A. A. (2015). A Road Map of Urdu Layout and Recognizing its Handwritten Digits, Table of Contents and Multi-font Numerals from Scanned and Handwritten Text Images Using Different Techniques. International Journal of Computer Science and Information Security, 13(6), 85.
61
Khan, K., Khan, R. U., Alkhalifah, A., & Ahmad, N. (2015, December). Urdu text classification using decision trees. In 2015 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET) (pp. 1-4). IEEE.
62
Burie—Jean, C. R. J. C., & Ogier, M. Extraction des bulles de bandes dessinées 2.
63
Tuerxun, W. (2015). A comparison of methods for trademark retrieval in a large trademark dataset (doctoral dissertation, middle east technical university).
64
Dahi, M., Semary, N. A., & Hadhoud, M. M. (2015, December). Primitive printed Arabic Optical Character Recognition using statistical features. In 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) (pp. 567-571). IEEE.
65
Mir, S., Zaman, S., & Anwar, M. W. (2015, December). Printed Urdu Nastalique Script Recognition Using Analytical Approach. In 2015 13th International Conference on Frontiers of Information Technology (FIT) (pp. 334-340). IEEE.
66
Flores, M., Lima, C., Thomé, A., Cruz, A., & Soares, A. (2015). Measuring Fluid Level through a Recalibrating-Free Hough Transform Methodology. Computer Science and Engineering, 5(3), 47-58.
67
Lim, P. C., Kulathuramaiyer, N., Awang Iskandar, D. N. F., & Chiew, K. L. (2015, August). EFA for structure detection in image data. In IT in Asia (CITA), 2015 9th International Conference on (pp. 1-5). IEEE.
68
Liu, X., Li, C., Zhu, H., Wong, T. T., & Xu, X. (2015). Text-aware balloon extraction from manga. The Visual Computer, 1-11.
69
Wang, X., Wei, C., & Han, X. (2015). Steganography forensics method for detecting least significant bit replacement attack. Journal of Electronic Imaging, 24(1), 013016-013016.
70
Babatunde, R. S., Olabiyisi, S. O., Omidiora, E. O., & Ganiyu, R. A. (2015). Local Binary Pattern And Ant Colony Optimization Based Feature Dimensionality Reduction Technique For Face Recognition System. British Journal of Computer Science and Mathematics (Article in Press).
71
Saini, M., & Chhikara, R. (2015, April). DWT Feature based Blind Image Steganalysis using Neural Network Classifier. In International Journal of Engineering Research and Technology (Vol. 4, No. 04 (April-2015)). ESRSA Publications.
72
Hossain, S. M., Islam, M. S., & Ajra, H. Digital Image as a Liaison of Immune Networking.
73
Rigaud, C., Le Thanh, N., Burie, J. C., Ogier, J. M., Iwata, M., Imazu, E., & Kise, K. (2015, August). Speech balloon and speaker association for comics and manga understanding. In Document Analysis and Recognition (ICDAR), 2015 13th International Conference on (pp. 351-355). IEEE.
74
Hu, G. H., Wang, Q. H., & Zhang, G. H. (2015). Unsupervised defect detection in textiles based on Fourier analysis and wavelet shrinkage. Applied optics, 54(10), 2963-2980.
75
HEYVAERT, P., DE NIES, T., VAN HERWEGEN, J., VANDER SANDE, M., VERBORGH, R., DE NEVE, W., ... & VAN DE WALLE, R. (2015). Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics. ues for n the A nd Cit enness, 37.
76
Pan, R., Zhu, B., Li, Z., Liu, J., & Gao, W. (2015). A simulation method of plain fabric texture for image analysis/Metoda de simulare a structurii tesaturilor plane pentru analiza imaginii. Industria Textila, 66(1), 28.
77
Liu, X., Wang, Y., & Tang, Z. (2015, August). A clump splitting based method to localize speech balloons in comics. In Document Analysis and Recognition (ICDAR), 2015 13th International Conference on (pp. 901-905). IEEE.
78
Rigaud, C., Guérin, C., Karatzas, D., Burie, J. C., & Ogier, J. M. (2015). Knowledge-driven understanding of images in comic books. International Journal on Document Analysis and Recognition (IJDAR), 1-23.
79
Hu, G. H. (2015). Automated defect detection in textured surfaces using optimal elliptical Gabor filters. Optik-International Journal for Light and Electron Optics, 126(14), 1331-1340.
80
Qu, T., Zou, L., Zhang, Q., Chen, X., & Fan, C. (2015). Defect detection on the fabric with complex texture via dual-scale over-complete dictionary. The Journal of The Textile Institute, 1-14.
81
Karlekar, V. V., & Biradar, M. S. (2015, September). Genetic algorithm based wavelet filter for automatic fabric defect detection. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-6). IEEE.
82
Tolba, A. S., & Raafat, H. M. (2015). Multiscale image quality measures for defect detection in thin films. The International Journal of Advanced Manufacturing Technology, 79(1-4), 113-122.
83
Kishore, P. V. V., Mallika, K. L., Prasad, M. V. D., & Narayana, K. L. (2015). Denoising Ultrasound Medical Images with Selective Fusion in Wavelet Domain. Procedia Computer Science, 58, 129-139.
84
Dahi, M., Semary, N. A., & Hadhoud, M. M. (2015, December). A comparative study of different approaches of primitive printed Arabic Optical Character Recognition. In 2015 11th International Computer Engineering Conference (ICENCO) (pp. 105-110). IEEE.
85
Singh, V., Gupta, S., & Saini, S. (2015, March). A methodological survey of image segmentation using soft computing techniques. In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in (pp. 419-422). IEEE.
86
Singh, V., & Misra, A. K. (2015, March). Cardiac image segmentation using Simulated Genetic algorithm. In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in (pp. 1024-1027). IEEE.
87
Monteiro, J. C., & Cardoso, J. S. (2015). A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios. Sensors, 15(1), 1903-1924.
88
Kausar, N., Samir, B. B., & Kuleev, R. (2006). Lung cancer detection using supervised classification with cluster variability on radiographs data. women, 25, 19-04.
89
Bhasin, V., Bedi, P., Goel, A., & Gupta, S. (2015, August). StegTrack: Tracking images with hidden content. In Proceedings of the Third International Symposium on Women in Computing and Informatics (pp. 318-323). ACM.
90
Dadi, H. S., & Mohan, P. K. Performance Evaluation of Eigen faces and Fisher faces with different pre-processed data sets.
91
Gubbi, A., Azeem, M. F., & Nayakwadi, N. Z. H. (2015). Conventional Entropy Quantifier and Modified Entropy Quantifiers for Face Recognition. Procedia Computer Science, 46, 1529-1536.
92
Wajid, S. K., & Hussain, A. (2015). Local energy-based shape histogram feature extraction technique for breast cancer diagnosis. Expert Systems with Applications, 42(20), 6990-6999.
93
Ouyang Ning, Zhonghuan Hong, Yuan Hua, Mo & Jianwen. (2015). Face Recognition Algorithm for illumination change. Electronic Technology, 41 (5), 152-155.
94
Ouerhani, Y., Desthieux, M., & Alfalou, A. (2015, April). Road sign recognition using Viapix module and correlation. In SPIE Defense+ Security (pp. 94770H-94770H). International Society for Optics and Photonics.
95
Ali, S., Iqbal, K., Khan, S., Tariq, R., & Aqil, Q. Z. (2015). A Review on Text Detection Techniques. VFAST Transactions on Software Engineering, 8(2).
96
Tsai, v. j. traffic sign detection and positioning from google street view streamlines.
97
Halder, A., & Hassan, S. S. (2015, February). Self-organizing feature map and linear discriminant analysis based image segmentation. In Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on (pp. 394-399). IEEE.
98
Nguyen, T. K. H. (2015). Low power architecture for fall detection system (Doctoral dissertation, Université Nice Sophia Antipolis).
99
Ayuninghemi, R., & Setyohadi, D. P. S. (2015, October). Optimum Feature for Palmprint Image Authentication. In Prosiding International conference on Information Technology and Business (ICITB) 2015 (pp. 134-138).
100
Ngondya, D., Anatory, J., & Mohamed, A. R. Performance of Un-coded MC-CDMA-based Broadband Power Line Communications.
101
Tov, O. B. S., Schaffer, J. D., & McLeod, K. J. (2015). Developing an Evolutionary Algorithm to Search for an Optimal Multi-Mother Wavelet Packets Combination. Journal of Biomedical Science and Engineering, 8(7), 458.
102
Nguyen, T. K. H. (2015). Conception faible consommation d'un système de détection de chute (Doctoral dissertation, Nice).
103
Yu, Q., Vegh, V., Liu, F., & Turner, I. (2015). A Variable Order Fractional Differential-Based Texture Enhancement Algorithm with Application in Medical Imaging. PloS one, 10(7), e0132952.
104
Islam, R., & Islam, M. R. (2015). An Image Processing Technique to Calculate Percentage of Disease Affected Pixels of Paddy Leaf. International Journal of Computer Applications, 123(12).
105
Gambaruto, A. M. (2015). Processing the image gradient field using a topographic primal sketch approach. International journal for numerical methods in biomedical engineering, 31(3).
106
Al-Ameen, Z., & Sulong, G. (2015). A new algorithm for improving the low contrast of computed tomography images using tuned brightness controlled single-scale Retinex. Scanning, 37(2), 116-125.
107
Sampath, R., & Saradha, A. Alzheimer’s Disease Image Segmentation with Self-Organizing Map Network.
108
Anh, D. N. Smooth Context based Color Transfer.
109
DUAN, L., & KONG, L. (2015). Salient Region Detection with Hierarchical Image Abstraction. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 31, 861-878.
110
Imran, M., Hashim, R., & Elaiza, N. (2015). Content Based Image Retrieval Using Color Layout Descriptor and Generic Fourier Descriptor. In Advanced Computer and Communication Engineering Technology (pp. 163-170). Springer International Publishing.
111
Chathurani, N. W. U. D., Geva, S., & Chandran, V. Conversion of an Image to a Document Using Grid-based Decomposition for Efficient Content-Based Image Retrieval.
112
Fadillah, A., & Tjokorda Agung, B. W. implementasi dan analisis salient point detector berdasarkan wavelet pada cbir (content based image retrieval) implementation and analysis wavelet-based salient point detector in cbir (content based image retrieval).
113
Polaka, I. (2015, August). Feature Selection Approaches In Antibody Display. In Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference (Vol. 2, pp. 16-23).
114
Javed, A., Chai, W. Y., Alenezi, A. R., & Kulathuramaiyer, N. (2015). Fully Automatic Detections of Abnormalities of Brain MR Images by utilizing Spatial Information and Mathematical Morphological Operators. Appl. Math, 9(1), 213-222.
115
Karthick, C., Idrissyedismail, S., Arunkailasam, E., Dhanapal, S., & Devika, T. the international journal of science & technoledge.
116
Bangare, S. L., Patil, M., Bangare, P. S., & Patil, S. T. Implementing Tumor Detection and Area Calculation in Mri Image of Human Brain Using Image Processing Techniques.
117
Tembhekar, P. A., Thakare, M. N., & Dhande, S. A. Spatial Fuzzy Clustering With Level Set Method for MRI Image.
118
Balakumar, B., & Raviraj, P. Automatic brain tumour MR image segmentation performance analysis using Threshold and Genetic algorithm.
119
Deore, M. R., & Handore, S. M. (2015, May). A survey on offline signature recognition and verification schemes. In Industrial Instrumentation and Control (ICIC), 2015 International Conference on (pp. 165-169). IEEE.
120
Wani, N. S., & Patil, S. P. (2015). Robust Signature Verification and Recognition using Weighted Features Point. Signature, 3(6).
121
Chugh, A., Jain, C., Singh, P., & Rana, P. (2015, January). Learning Approach for Offline Signature Verification Using Vector Quantization Technique. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 (pp. 337-344). Springer International Publishing.
122
Widodo, A. W., & Harjoko, A. (2015). sistem verifikasi tanda tangan off-line berdasar ciri histogram of oriented gradient (hog) dan histogram of curvature (HoC). Jurnal Teknologi Informasi dan Ilmu Komputer, 2(1).
123
Saraswat, S., Sinha, S. K., & Kumar, M. an optimized handwritten signature verification by ann.
124
Joon, M. D., & Kikon, M. S. An analytical approach towards Offline Handwritten Signatures Verification using Wavelets transforms and other relevant techniques.
125
Singh, P. K., Sarkar, R., & Nasipuri, M. (2015). Offline Script Identification from multilingual Indic-script documents: A state-of-the-art. Computer Science Review, 15, 1-28.
126
Kekre, H. B., Sarode, T., & Natu, S. (2015). performance comparison of hybrid wavelet transforms formed using dct, walsh, haar and dkt in watermarking. International Journal of Computer Science & Information Technology, 7(1), 41.
127
Kekre, H. B., Sarode, T., & Natu, S. (2015). performance analysis of watermarking using svd and column/row hybrid wavelet transform of dct with walsh, haar and dkt. International Journal of Advances in Engineering & Technology, 8(1), 1985.
128
Nayak, M., & Nayak, A. K. (2015). Odia Running Text Recognition Using Moment-Based Feature Extraction and Mean Distance Classification Technique. In Intelligent Computing, Communication and Devices (pp. 497-506). Springer India.
129
Singh, P. K., Sarkar, R., & Nasipuri, M. (2015). Offline Script Identification from multilingual Indic-script documents: A state-of-the-art. Computer Science Review, 15, 1-28.
130
Naubadkar, S., & Meera, A. (2015). Enhanced Algorithm For Tracking number Plate From Vehicle Using Blob Analysis.
131
Peer, S., & Mishra, A. Tracking and segmentation of number plates of Indian vehicles using matlab.
132
Messali, Z., Chetih, N., Serir, A., & Boudjelal, A. (2015). A Quantitative Comparative Study of Back Projection, Filtered Back Projection, Gradient and Bayesian Reconstruction Algorithms in Computed Tomography (CT). International Journal of Probability and Statistics, 4(1), 12-31.
133
Kekre, H. B., Sarode, T., & Natu, S. (2015). Performance Comparison of Watermarking Using SVD with Orthogonal Transforms and Their Wavelet Transforms. International journal of image, graphics and signal processing, submitted for publication.
134
Kekre, H. B., Sarode, T., & Natu, S. (2015, January). Robust watermarking by SVD of watermark embedded in DKT-DCT and DCT wavelet column transform of host image. In Communication, Information & Computing Technology (ICCICT), 2015 International Conference on (pp. 1-6). IEEE.
135
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