Paper
10 April 2018 Partial fingerprint identification algorithm based on the modified generalized Hough transform on mobile device
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Hough transforms

Fingerprint recognition

Databases

Machine learning

Mobile devices

Sensors

Biometrics

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