A cross mosaic based partial fingerprint recognition strategy with multiple templates

Jing Liao; Kaizhi Wu; Yanbing Kang

doi:10.1117/12.2539432

14 February 2020 A cross mosaic based partial fingerprint recognition strategy with multiple templates

Jing Liao, Kaizhi Wu, Yanbing Kang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114301K (2020) https://doi.org/10.1117/12.2539432
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

In order to enrich the effective feature information of fingerprint template and improve the matching performance of local fingerprint identification system, this paper proposes a multi-template partial fingerprint recognition strategy based on cross mosaicing. In the registration phase, the template feature cross-splicing process is performed on the fingerprint feature template extracted from the local fingerprint image to enrich the effective feature information of the fingerprint template, thereby avoiding the occurrence of mosaicing failure due to different mosaicing sequences. In view of the problem that the fingerprint image recombination rate is too low and will cause the fail of registration, this paper base on multiple storage templates, and continuously enriches the effective information contained in the feature template through the template update strategy in the authentication phase. The experimental results have shown that the strategy of this paper has better matching performance.

Citation Download Citation

Jing Liao, Kaizhi Wu, and Yanbing Kang "A cross mosaic based partial fingerprint recognition strategy with multiple templates", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301K (14 February 2020); https://doi.org/10.1117/12.2539432

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