DocumentCode :
2288345
Title :
Fingerprint preclassification using key-points
Author :
Ying Shan ; Shi, Peng Fei ; Li, Jie Gu
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
fYear :
1994
fDate :
13-16 Apr 1994
Firstpage :
308
Abstract :
A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of what the feature is. Using this method, an automatic fingerprint recognition system has been developed, which is characterized by fewer requirements imposed on the preprocessing, lower sensitivity to the noise, higher capacity and parallelism being compared with other traditional ones. The system can list out the most promising fingerprints as a preclassifier
Keywords :
image recognition; automatic fingerprint recognition system; capacity; fingerprint preclassification; key-point recognition method; key-points; parallelism; preclassifier; preprocessing; Brightness; Convergence; Energy measurement; Equations; Fingerprint recognition; Frequency measurement; Hamming distance; Labeling; Lattices; Supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
Type :
conf
DOI :
10.1109/SIPNN.1994.344905
Filename :
344905
Link To Document :
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