ICIP 2006, Atlanta, GA

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Paper Detail

Session:Fingerprint and Iris Analysis
Time:Monday, October 9, 09:40 - 12:20
Presentation: Poster
Topic: Biometrics: Fingerprint analysis and coding
Authors: Tong Liu; Peking University 
 Chao Zhang; Peking University 
 Pengwei Hao; Peking University 
Abstract: Fingerprint indexing is an efficient technique that greatly improves the performance of fingerprint based person authentication systems by reducing the number of comparison. In this paper, we propose an indexing method based on fingerprint registration with a novel feature called local axial symmetry(LAS). The location and direction estimation of reference point are achieved in a straightforward way after the LAS field is achieved. Then the registered orientation field is utilized as a feature vector to perform the following indexing. A new scheme of the experiment is introduced and satisfactory experimental results are achieved on FVC2000 DB2 that the average search space is only 2.34% of all fingers in the condition of equal-sized training set and testing set.