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Extended Fuzzy Hyperline Segment Neural Network for Fingerprint Recognition
Mahendra Hiralal Kondekar, U V Kulkarni, B. B. M. Krishna Kanth
Pages - 162 - 171     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Biometrics, Fuzzy Neural Network, Hyperline Segment, Fingerprint Recognition, FingerCode
ABSTRACT
In this paper we have proposed Extended Fuzzy Hyperline Segment Neural Network (EFHLSNN) and its learning algorithm which is an extension of Fuzzy Hyperline Segment Neural Network (FHLSNN). The fuzzy set hyperline segment is an n-dimensional hyperline segment defined by two end points with a corresponding extended membership function. The fingerprint feature extraction process is based on FingerCode feature extraction technique. The performance of EFHLSNN is verified using POLY U HRF fingerprint database. The EFHLSNN is found superior compared to FHLSNN in generalization, training and recall time.
CITED BY (1)  
1 Mishra, K. N., Srivastava, P. C., Agrawal, A., Garg, R., & Singh, A. (2013). Minutiae Fusion Based Framework for Thumbprint Identification of Identical Twins. International Journal of Intelligent Systems and Applications, 6(1), 84.
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Mr. Mahendra Hiralal Kondekar
College of Computer Science and Information Technology, Latur - India
m_h_kondekar@yahoo.com
Dr. U V Kulkarni
SGGS Institute of Engg. & Tech. Nanded - India
Mr. B. B. M. Krishna Kanth
S.R.T.M. University - India