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Cross-device recognition of dorsal hand vein images by two-stage coarse-to-fine matching

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Abstract

This paper addresses the problem of poor biometric recognition performance that is caused by greatly increased variations among the hand vein patterns of the same individuals as a result of using different imaging devices under different acquisition conditions and presents a novel solution based on two-stage coarse-to-fine matching. In particular, a global pattern descriptor is proposed as a geometrical reference for optimum image segmentation of vein patterns without significant over-segmentation and under-segmentation. In order to accommodate large cross-device variations, a control parameter is introduced to allow adjustment of segmented vein patterns, thereby enabling not only intra-class pattern similarities but also inter-class pattern dissimilarities to be increased. Furthermore, overlapping of principal vein patterns is proposed as a criterion for global coarse matching to reduce the number of candidates for identification, and distinctive efficient robust features are employed to provide a biological vision-based descriptor of salient local pattern characteristics for fine matching. Using a large dataset of 2000 cross-device hand vein images captured from two different near-infrared imaging devices and 100 hands, the efficacy of the proposed approach for a cross-device biometric system is demonstrated, with a recognition performance shown to be compatible to that of a single-device biometric system.

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Acknowledgements

This work was supported by the National Natural Science Fund Committee of China (NSFC no. 61673021).

Funding

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61,271,368.

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Authors and Affiliations

  1. College of Information Engineering, North China University of Technology, Beijing, China

    Yiding Wang, Xiaotong Cao & Xia Miao

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  1. Yiding Wang
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  2. Xiaotong Cao
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  3. Xia Miao
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Correspondence to Xiaotong Cao.

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Wang, Y., Cao, X. & Miao, X. Cross-device recognition of dorsal hand vein images by two-stage coarse-to-fine matching. Vis Comput 38, 3595–3610 (2022). https://doi.org/10.1007/s00371-021-02190-7

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