Title :
Automatic fingerprint recognition algorithm
Author :
Zalev, Jason ; Sedaghat, Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont., Canada
Abstract :
This paper summarizes a simple procedure for preprocessing and extracting minutiae from digital fingerprint images. Many approaches were studied, and the best approaches were selected and slightly modified. Methods for computing minutiae directions and further canceling false endpoints were added. The thinning algorithms of both Bernard and Chin, and the minutiae extraction algorithm of Tico were used. The reasons for their selection are discussed in detail.
Keywords :
edge detection; feature extraction; fingerprint identification; police data processing; Bernard thinning algorithm; Chin thinning algorithm; Tico minutiae extraction algorithm; automatic fingerprint recognition algorithm; digital fingerprint images; false endpoint canceling methods; minutiae directions; minutiae extraction; preprocessing procedure; Bifurcation; Computer science; Data mining; Fingerprint recognition; Image converters; Image databases; Image enhancement; Image matching; Impedance matching; Testing;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1347697
