A feature map consisting of orientation and inter-ridge spacing for fingerprint retrieval

Authors:
Sung-Oh Lee;Yong-Guk Kim;Gwi-Tae Park
Affiliations:
Dept. of Electrical Engineering, Korea University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

Citing 5
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Abstract

We propose a new fingerprint classification method based on a feature map consisting of orientation and inter-ridge spacing for the latent fingerprint retrieval within the large-scale databases. It is designed for the continuous classification methodology. This method captures unique characteristics for each fingerprint from the distribution of combined features of orientation and inter-ridge spacing of local area. The merit of the proposed approach is that it has translation invariant property and is rubust againt registration error since it is not necessary to locate the core position. Our experiments show that the performance of the proposed approach is comparable to the MASK method, and when it is combined with other classifier i.e. PCASYS, the result classifier outperformes any single classifier previously proposed. Moreover, it can be implemented in the low cost hardware such as embedded fingerprint system since the new algorithm saves the processing time.