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Crease detection method using fingerprint image decomposition and composition  

Hwang, Woon-Joo (Dept. of Electronic Engineering, Univ. of Incheon)
Park, Sung-Wook (Dept. of Information & Communications, Yuhan College)
Park, Jong-Kwan (Dept. of Information & Communications, Yuhan College)
Park, Jong-Wook (Dept. of Electronic Engineering, Univ. of Incheon)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.44, no.3, 2007 , pp. 90-97 More about this Journal
Abstract
For a highly reliable fingerprint recognition system, the precise and accurate feature extraction is indispensable. In this paper, We propose a highly efficient crease extraction method, which can improve the accuracy of feature extraction within the fingerprint image. The proposed method applies the 1-dimensional directional slit for each pixel in fingerprint image. And then it calculates the average grey level and variance to determine whether the current pixel composes the crease, and estimates the direction of crease. Once the direction of every pixel in crease candidate area is estimated, it is decomposed into 8 different images depending on their direction. From the 8 directional images, the crease clusters are estimated by utilizing the property of crease area. The proposed method finally extracts the crease from the crease clusters estimated from directional images. In conclusion, the proposed method highly improved the accuracy of overall feature extraction by accurate and precise extraction of the crease from fingerprint image.
Keywords
crease feature extraction; fingerprint recognition;
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