NOVEL-APPROACH TO AUTOMATED FINGERPRINT RECOGNITION

The paper describes an enhanced fingerprint recognition system consist ing 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 directi onal codes, dynamic thresholding and ridgeline thinning which are suff icient to enhance the image to a state ready for feature extraction. O nly 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 ar e accurate, reliable and fast for implementation using a PC and a fing erprint scanner. The proposed fingerprint recognition scheme can provi de an efficient way of automated identification and can be extended to numerous other security or administration applications.