Title :
An Improved Method of Fingerprint Singular Points Detection
Author :
Peng, Xiaoqi ; Wu, Gengxin ; Peng, Zhangping ; Li, Yuxiao
Author_Institution :
Central South Univ., Changsha
fDate :
May 30 2007-June 1 2007
Abstract :
Singular points (SPs) in fingerprint images have important applications in fingerprint recognition such as registration and classification. Reliable detection of SPs could sufficiently improve processing speed and performance of automatic fingerprint identification system. In this paper, an improved SPs detection method is proposed. We first present a new algorithm of fingerprint image segmentation using linear support vector machine. Then, we estimate the complex orientation field by multiple scales smoothing in the highest resolution and perform several heuristic rules to enhance the certainty map after complex filtering. Experiments conducted on FVC2002 databases demonstrate that the proposed method can detect SPs with high robustness and accuracy.
Keywords :
fingerprint identification; image classification; image registration; image segmentation; support vector machines; automatic fingerprint identification system; fingerprint image segmentation; fingerprint images; fingerprint recognition; fingerprint singular points detection; images classification; images registration; linear support vector machine; Feature extraction; Filtering; Fingerprint recognition; Image databases; Image matching; Image segmentation; Robustness; Smoothing methods; Support vector machine classification; Support vector machines; complex filtering; fingerprint singular points; linear support vector machine; multiple scale smoothing;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376513
