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Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device
Author(s): Jin Qin; Siqi Tang; Congying Han; Tiande Guo
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 10 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106150Z (10 April 2018); doi: 10.1117/12.2302517
Show Author Affiliations
Jin Qin, Univ. of Chinese Academy of Sciences (China)
Siqi Tang, Univ. of Chinese Academy of Sciences (China)
Congying Han, Univ. of Chinese Academy of Sciences (China)
Tiande Guo, Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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