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Effective Fingerprint Quality Estimation for Diverse Capture Sensors
Department of Electronics and Information Engineering, Chonbuk National University, 664-141 Ga Deokjin-Dong, Jeonju, Jeonbuk, 561-756, Korea
Department of Multimedia Engineering, Mokpo National University, 61 Dorim-ri, Cheonggye-myeon, Jeonnam, 534-729, Korea
Advanced Graduate Education Center of Jeonbuk for EIT-BK21, Chonbuk National University, 664-141 Ga Deokjin-Dong, Jeonju, Jeonbuk, 561-756, Korea
* Author to whom correspondence should be addressed.
Received: 8 June 2010; in revised form: 2 July 2010 / Accepted: 11 August 2010 / Published: 26 August 2010
Abstract: Recognizing the quality of fingerprints in advance can be beneficial for improving the performance of fingerprint recognition systems. The representative features to assess the quality of fingerprint images from different types of capture sensors are known to vary. In this paper, an effective quality estimation system that can be adapted for different types of capture sensors is designed by modifying and combining a set of features including orientation certainty, local orientation quality and consistency. The proposed system extracts basic features, and generates next level features which are applicable for various types of capture sensors. The system then uses the Support Vector Machine (SVM) classifier to determine whether or not an image should be accepted as input to the recognition system. The experimental results show that the proposed method can perform better than previous methods in terms of accuracy. In the meanwhile, the proposed method has an ability to eliminate residue images from the optical and capacitive sensors, and the coarse images from thermal sensors.
Keywords: fingerprints; sensor; quality estimation; SVM; recognition
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Cite This Article
MDPI and ACS Style
Xie, S.J.; Yoon, S.; Shin, J.; Park, D.S. Effective Fingerprint Quality Estimation for Diverse Capture Sensors. Sensors 2010, 10, 7896-7912.
Xie SJ, Yoon S, Shin J, Park DS. Effective Fingerprint Quality Estimation for Diverse Capture Sensors. Sensors. 2010; 10(9):7896-7912.
Xie, Shan Juan; Yoon, Sook; Shin, Jinwook; Park, Dong Sun. 2010. "Effective Fingerprint Quality Estimation for Diverse Capture Sensors." Sensors 10, no. 9: 7896-7912.