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An Effective Crease Detection Method for Feature Information Extraction in Fingerprint Images  

Park, Sung-Wook (Dept. of Info. & Communications, Yuhan College)
Lee, Byung-Jin (Dept. of Electronic Engineering, Univ. of Incheon)
Publication Information
전자공학회논문지 IE / v.44, no.2, 2007 , pp. 32-40 More about this Journal
Abstract
In this paper, the crease extraction method is proposed to improve the accuracy of feature extraction within the fingerprint image. First of all, for each pixel in fingerprint image, it calculates the average grey level and variance to determine if the current pixel composes the crease, and estimates the direction of crease. Secondly, once the direction of every pixel in crease candidate area is estimated, it is decomposed into 8 different images, depending on their direction. The properties of crease consists of the length of the crease candidate area, the correspondence between the crease direction and the pixel distribution direction, the difference between the ridge direction and the pixel distribution direction, and finally the grey level of the candidate pixels. The proposed method finally extracts the crease from the crease clusters estimated from directional images. In conclusion, applying the proposed method improved the accuracy of overall feature extraction by 91.4% by accurately and precisely extracting the crease from fingerprint image.
Keywords
crease detection; fingerprint; fingerprint feature extraction;
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