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Novel approach to automated fingerprint recognition

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3 Author(s)
Wahab, A. ; Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore ; Chin, S.H. ; Tan, E.C.

The paper describes an enhanced fingerprint recognition system consisting of image preprocessing, feature extraction and matching that runs accurately and effectively on a personal computer platform. The image preprocessing includes histogram equalisation, modification of directional codes, dynamic thresholding and ridgeline thinning which are sufficient to enhance the image to a state ready for feature extraction. Only features extracted are stored in a file for fingerprint matching. The matching algorithm presented is a modification and improvement of the structural approach. Experimental results acquired for matching are accurate, reliable and fast for implementation using a PC and a fingerprint scanner. The proposed fingerprint recognition scheme can provide an efficient way of automated identification and can be extended to numerous other security or administration applications

Published in:

Vision, Image and Signal Processing, IEE Proceedings -  (Volume:145 ,  Issue: 3 )