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| An Incomplete Fingerprint Recognition Algorithm Based on Pattern Entropy |
| Zhang Jie①② Jing Xiao-jun①② Liu Xin-jing①② Li Shuai①② |
①(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
②(Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Beijing 100876, China) |
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Abstract A novel algorithm for incomplete fingerprint recognition is proposed in this paper using fusion features and pattern entropy based similarity measure. Because of incomplete fingerprint’s unique characteristic of information loss, the recognition performance is mainly restricted by two critical problems: extracting features containing sufficient information and measuring similarity more effectively. For the first problem, minutiae and orientation field features are fused to get more comprehensive information and to improve the scale and rotation invariability. For the second, the pattern entropy is introduced to measure the coherency of correspondences between two feature sets to eliminate false match. The extensive experiments are done and compared with existing method on fingerprint databases and made thorough comparisons. Experimental results show that the proposed scheme has more efficient ability on separating genuine and impostor pairs and performs well in both accuracy and speed.
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Received: 05 June 2012
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Corresponding Authors:
Zhang Jie
E-mail: jiezhangsice@gmail.com
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2012, Vol. 34 
