Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device

Jin Qin; Siqi Tang; Congying Han; Tiande Guo

doi:10.1117/12.2302517

10 April 2018 Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device

Jin Qin, Siqi Tang, Congying Han, Tiande Guo

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106150Z (2018) https://doi.org/10.1117/12.2302517
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Partial fingerprint identification technology which is mainly used in device with small sensor area like cellphone, U disk and computer, has taken more attention in recent years with its unique advantages. However, owing to the lack of sufficient minutiae points, the conventional method do not perform well in the above situation. We propose a new fingerprint matching technique which utilizes ridges as features to deal with partial fingerprint images and combines the modified generalized Hough transform and scoring strategy based on machine learning. The algorithm can effectively meet the real-time and space-saving requirements of the resource constrained devices. Experiments on in-house database indicate that the proposed algorithm have an excellent performance.

Citation Download Citation

Jin Qin, Siqi Tang, Congying Han, and Tiande Guo "Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106150Z (10 April 2018); https://doi.org/10.1117/12.2302517

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