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System of “Analysis of Intersections Paths” for Signature Recognition
Farhad Shamsfakhr
Pages - 610 - 622     |    Revised - 01-11-2011     |    Published - 15-12-2011
Published in International Journal of Image Processing (IJIP)
Volume - 5   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
MORE INFORMATION
References   |   Cited By (2)   |   Abstracting & Indexing
KEYWORDS
Intersections Recognition, Routing, Path Information Table (PIT)
ABSTRACT
In today\'s world, the electronic city which is the offspring of the development of the information world, paves the way for a round-the-clock interaction among computers and networks. The planners of these electronic cities are mostly concerned about the accuracy and security of the exchanged information. In order to elevate security and raise speed and accuracy in the reviewing of network performance and the dependable identification of persons involved in electronic operations, recognizing the accuracy of the electronic signature is deemed absolutely essential. In this article, a system named \"Analysis of Intersections\" has been utilized for the accurate recognition of the electronic signature. Of important features of this system are the utilization of simple data structures such as array, stack, and list and determination of the sensitivity level for recognizing the accuracy of the signature by setting an error percentage for the size and recognition of the shape. An accuracy recognition test was performed on 15 samples of 150 types of signatures using \"Analysis of Intersections\". Findings indicated that this system showed an accurate recognition of 2,220 out of 2,250 signatures, indicating an applicability of 98.66 percent.
CITED BY (2)  
1 KUMALASANTI, R. A. (2015). Identifikasi dan verifikasi tanda tangan statik menggunakan backpropagation dan alihragam wavelet (doctoral dissertation, uajy).
2 Ravi, J., & Raja, K. B. Concatenation of Spatial and Transformation Features for Off-Line signature Identification. International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN, 2278-3075.
ABSTRACTING & INDEXING
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
REFERENCES
A recognition algorithm for the intersection graphs of directed paths in directed trees .Department of Computer Science, University of Illinois, Urbana, Ill. 61801, USA.
A recognition algorithm for the intersection graphs of paths in trees.Computer Science Division, Department of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv, Tel-Aviv,Israel Received 10 March 1977;
A.Zimmer, L.Luan Ling, A Hybrid On/Off Line Handwritten Signature Verification System, "Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR 2003) " 0-7695-1960-1/03 17.00 C 2003 IEEE
M.Savov, G.Gluhchev, Automated Signature Detection from Hand Movement, "International Conference on Computer Systems and Technologies _ CompSysTech" 2004
S. E. Umbaugh, Computer Imaging Digital Image Analysis and Processing, CRC Press,2005
MANUSCRIPT AUTHORS
Mr. Farhad Shamsfakhr
Islamic Azad University/Hamedan Branch - Iran
farhad_sm@ymail.com


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