Classification and Recognition of Fingerprints using Self Organizing Maps(SOM)
Feature extraction and matching are important in automatic fingerprint identification systems(AFIS) in biometric technology. In this work, a filter-based algorithm uses a bank of Gabor filters to capture local and global features in a fingerprint as a compact fixed length FingerCode. These fingercodes are matched using Self Organizing Maps (SOM). Promising results of classification of fingerprints in research works using neural network has pushed us to exploit another version of neural networks, SOM and to develop codes and recognition algorithms which are associated to this system. Our Experimental results demonstrate the robustness of our algorithm in terms of Total Acceptance Rate (TSR), False Rejection Rate (FRR) and False Acceptance Rate(FAR).
Keywords: Fingerprints, Biometrics, Fingercodes, Gabor Filters, Self Organising Maps (SOM)
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ABOUT THE AUTHORS
J.B.Hayfron-Acquah
J.B.Hayfron-Acquah is a Lecturer at Kwame Nkrumah University of Science and Technology. He received his PhD in Computer Science at the University of Southampton, United Kingdom, MSc in Computer Science and Applications (Distinction) at Shanghai University, Shanghai, Republic of China and BSc in Computer Science (First Class) at Kwame Nkrumah University of Science and Technology. His research area is image processing, pattern recognition, computer vision and artificial Intelligence. He has published lots of papers in international conferences and journals. He is an Association Member of the British Machine Vision Association. Some of his publications include: Emerald Highly Recommended Award, 2004 for the publication: Nixon, M. S., J. N. Carter, M. G. Grant, L. Gordon and J. B. Hayfron-Acquah, Automatic Recognition by Gait: progress and prospects. Sensor review, 24(3), pp. 323-331, 2003. (Supporting document 1).
Mavis S. Gyimah
Mavis S. Gyimah is a student currently pursuing an Mphil in information Technology at Kwame Nkrumah University of science and Technology. She received her Bsc in Computer Science from the same university
J.B.Hayfron-Acquah
J.B.Hayfron-Acquah is a Lecturer at Kwame Nkrumah University of Science and Technology. He received his PhD in Computer Science at the University of Southampton, United Kingdom, MSc in Computer Science and Applications (Distinction) at Shanghai University, Shanghai, Republic of China and BSc in Computer Science (First Class) at Kwame Nkrumah University of Science and Technology. His research area is image processing, pattern recognition, computer vision and artificial Intelligence. He has published lots of papers in international conferences and journals. He is an Association Member of the British Machine Vision Association. Some of his publications include: Emerald Highly Recommended Award, 2004 for the publication: Nixon, M. S., J. N. Carter, M. G. Grant, L. Gordon and J. B. Hayfron-Acquah, Automatic Recognition by Gait: progress and prospects. Sensor review, 24(3), pp. 323-331, 2003. (Supporting document 1).
Mavis S. Gyimah
Mavis S. Gyimah is a student currently pursuing an Mphil in information Technology at Kwame Nkrumah University of science and Technology. She received her Bsc in Computer Science from the same university
