Home   >   CSC-OpenAccess Library   >    Manuscript Information
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
Biometrics, Fuzzy Neural Network, Hyperline Segment, Fingerprint Recognition, FingerCode
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.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Libsearch 
6 Bielefeld Academic Search Engine (BASE) 
7 Scribd 
8 WorldCat 
9 SlideShare 
10 PdfSR 
A. K. Hrechak and I. A. Mchugh, "Automated fingerprint recognition using structural matching", Pattern Recognition, vol. 23, no. 8, pp. 893-904, 1990.
A. K. Jain, S. Prabhakar, and L. Hong, "A multichannel approach to Fingerprint Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21,no. 4, pp. 348-359, 1999.
A. K. Jain, S. Prabhakar, L. Hong, and S. Pankanti, "FilterBank-based fingerprint matching",IEEE Transactions on Image Processing, vol. 9, no. 5, pp. 846-859, 2000.
A.K. Jain, L. Hong, S. Pankanti, and R. Bolle, "An identity authentication system using fingerprints", Proceedings of the IEEE, Vol. 85, No. 9, pp. 1365-1388, 1997.
J. G. Daugman, "High confidence recognition of persons by a test of statistical independence", IEEE Transactions on Pattern Analysis and Machine Intelligance, vol. 15,no. 11, pp. 1148-1161, 1993.
J. G. Daugman, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters", J.Opt. Soc. Amer. A. vol. 2,pp. 1160-1169, 1985.
K. Jain, S. Prabhakar, L. Hong, and S, Pankanti, "FingerCode: a FilterBank for fingerprint representation and matching", Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), vol. 2, pp. 187- 193, 1999.
P.Meenen, and R.Adhami, "Fingerprinting for security", Proceedings of the IEEE Potentials,pp. 33-38, 2001.
T. Song, Liang Huang, Che-Wei Liu, Jui-Peng Lin, Chien-Ying Li, and Ting-Yi Kuo, "A Novel Scheme for Fingerprint Identification", Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV'05) 0-7695-2319-6/05.
U.V. Kulkarni, T.R. Sontakke and G. D. Randale, "Fuzzy Hyperline Segment Neural Network for Rotation Invariant Handwritten Character Recognition", Neural Networks, 2001.Proceedings. IJCNN '01. International Joint Conference on Neural Network, Washington,DC, USA, 2001, pp. 2918 - 2923 vol.4.
W. J. Babler, "Embryologic Development of Epidermal Ridges and Their Configuration",Birth Defects Original Article Series, vol. 27, no. 2,1991.
Mr. Mahendra Hiralal Kondekar
College of Computer Science and Information Technology, Latur - India
Dr. U V Kulkarni
SGGS Institute of Engg. & Tech. Nanded - India
Mr. B. B. M. Krishna Kanth
S.R.T.M. University - India