Title :
Automatic feature extraction and recognition of fingerprint images
Author :
Sun, Xiao ; Ai, Zhuming
Author_Institution :
Dept. of Biomed. Eng., Southeast Univ., Nanjing, China
Abstract :
A technique for the recognition of fingerprint images is described in this paper. Fingerprint images are preprocessed by using a set of contextual filters first and then thinned to extract the fingerprint “minutiae” features. As the images are noisy, there are many spurious minutiae. These spurious minutiae can be detected and deleted efficiently by a proposed method. The method for matching fingerprint images is also given. The usage of the technique in this paper allows for fairly high degree of noise tolerance
Keywords :
feature extraction; filtering theory; fingerprint identification; image matching; noise; automatic feature extraction; automatic feature recognition; contextual filters; fingerprint images; image matching; minutiae features; noise tolerance; noisy images; spurious minutiae detection; Feature extraction; Filtering; Filters; Fingerprint recognition; Image converters; Image matching; Image recognition; Image restoration; Image segmentation; Pixel;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566282
