Title Fingerprint indexing based on LAS registration
Authors Liu, Tong
Zhang, Chao
Hao, Pengwei
Affiliation Peking Univ, Nat Lab Machine Percept, Beijing 100871, Peoples R China.
Keywords fingerprint
local axial symmetry
indexing
CLASSIFICATION
Issue Date 2006
Citation 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS..
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.
URI http://hdl.handle.net/20.500.11897/406588
ISSN 1522-4880
DOI 10.1109/ICIP.2006.313185
Indexed EI
CPCI-S(ISTP)
Appears in Collections: 机器感知与智能教育部重点实验室

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