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A New Fingerprint Reference-Point Detection Method Using Cosine Component
宋映澈(Young-Chul Song) 대한전기학회 2007 전기학회논문지 Vol.56 No.8
A new reference point location method using the cosine component is proposed, where an edge map is defined and used to find the reference point. Because all processes used in the proposed method are performed at the block level, less processing time is required. Experimental results show that the proposed method can effectively detect the reference point with higher speed and accuracy for all types of fingerprints.
Edge Map-Based Fingerprint Reference-Point Detection
宋映澈(Young-Chul Song) 대한전기학회 2007 전기학회논문지 Vol.56 No.7
A new reference point location method based on an edge map is proposed, where an orientation map is defined and used to find the edge map. Experimental results show that the proposed method can effectively detect the core point in poor quality and arch-type fingerprint images and produces better results in terms of the detection rate and accuracy than the sine map-based method.
Multimodal Fingerprint Matching Based on Minutiae Points and Directional Features
송영철(Young-Chul Song) 대한전기학회 2009 전기학회논문지 Vol.58 No.12
A simple multimodal fingerprint recognition method based on two types of feature vectors such as minutiae points and directional features is proposed, where Directional Filter Bank (DFB) is used to extract directional features. Experimental results show that the proposed method can effectively combine minutiae- and DFB-based methods and produce a better matching capability in the poor quality fingerprint image.
송영철(Young-Chul Song) 대한전기학회 2010 전기학회논문지 Vol.59 No.4
In order to monitor operating performance of contaminated outdoor insulators, a wavelet-based flashover prediction method is proposed. In most cases, the low-frequency components, namely, fundamental, 3<SUP>rd</SUP>, and 5<SUP>th</SUP> harmonic components have been mainly used for the sake of the spectral analysis of the leakage current. However, in this paper, the detail coefficients of wavelet transform representing high-frequency components are used as important information to predict a flashover in the contaminated insulator. Experimental results verify that the proposed method has a superior capability for flashover prediction.