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http://dx.doi.org/10.6109/jkiice.2010.14.11.2429

The Palm Line Extraction and Analysis using Fuzzy Method  

Kim, Kwang-Baek (신라대학교 컴퓨터정보공학부)
Song, Doo-Heon (용인송담대학 컴퓨터게임정보과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.11, 2010 , pp. 2429-2434 More about this Journal
Abstract
In this paper, we propose a method to extract and analyze palm line with fuzzy method. In order to extract the palm part, we transform the original RGB color space to YCbCr color space and extract sin colors ranging Y:65-255, Cb:25-255, Cr:130-255 and use it as a threshold. Possible noise is removed by 8-directional contour tracking algorithm and morphological characteristic of the palm. Then the edge is extracted from that noise-free image by stretching method and sobel mask Then the fuzzy binarization algorithm is applied to remove any minute noise so that we have only the palm lines and the boundary of the hand. Since the palm line reading is done with major lines, we use the morphological characteristics of the analyzable palm lines and fuzzy inference rules. Experiment verifies that the proposed method is better in visibility and thus more analyzable in palm reading than the old method.
Keywords
Fuzzy Binarization; Palm Line; 8-directional Contour Tracking; Major Line;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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