Intelligent biometric techniques in fingerprint and face recognition
Intelligent biometric techniques in fingerprint and face recognition
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
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Fingerprints being unique and life-long characteristics of human, are the most popular way of identification. With the extent of database increasing and the requirement of reduced processing time, there is a continual demand and extended scope for research in this area. In this paper, a method which deals with fingerprint identification in the transform domain is considered. The one-step Walsh transform i. e. either the row or the column transform of the fingerprint is subjected to sectorization to generate the feature vector. Sectorization is done in the complex plane after the sequency components are separated. The scores of both the row and column transform techniques are fused together used MAX and OR rules. The algorithm has been tested on a database of 168 images of 21 individuals. The results with accuracy of more than 96% show that the method can be satisfactorily used in fingerprint identification.