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Pore-based indexing for fingerprints acquired using high-resolution sensors

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Abstract

With the advent of high-resolution fingerprint sensors, there have been efforts to develop high-resolution fingerprint identification systems. In this paper, we present an indexing method for high-resolution fingerprints using pore-based features. In the proposed approach, the dynamic pore filtering method is employed to extract pores from high-resolution fingerprint images. The extracted pores are treated as keypoints, and a pore descriptor is computed for each of the keypoints. The pore descriptor thus obtained is used as a feature vector for indexing. Finally, a cluster-based retrieval scheme is employed for fast and effective retrieval of the candidate list. Performance of the proposed approach has been evaluated on the Hong Kong PolyU high-resolution fingerprint databases, DBI and DBII and in-house databases, IITI-HRFP and IITI-HRF. The proposed indexing approach achieves an improvement of 67%, 49%, 42% and 28% points in pre-selection error rate (for penetration rate of 10%) over the existing method that employs pore features for indexing on DBI, DBII, IITI-HRFP and IITI-HRF, respectively. Most importantly, our approach provides better performance than the state-of-the-art minutiae-based fingerprint indexing algorithm on DBI and IITI-HRFP, which contain partial fingerprints.

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Authors and Affiliations

  1. Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India

    Vijay Anand & Vivek Kanhangad

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  1. Vijay Anand
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  2. Vivek Kanhangad
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Correspondence to Vivek Kanhangad.

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Anand, V., Kanhangad, V. Pore-based indexing for fingerprints acquired using high-resolution sensors. Pattern Anal Applic 23, 429–441 (2020). https://doi.org/10.1007/s10044-019-00805-3

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