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http://dx.doi.org/10.13067/JKIECS.2011.6.2.243

The Lines Extraction and Analysis of The Palm using Morphological Information of The Hand and Contour Tracking Method  

Kim, Kwang-Baek (신라대학교 컴퓨터공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.6, no.2, 2011 , pp. 243-248 More about this Journal
Abstract
In this paper, we propose a new method to extract palm lines and read it with simple techniques from one photo. We use morphological information and 8-directional contour tracking algorithm. From the digitalized image, we transform original RGB information to YCbCr color model which is less sensitive to the brightness information. The palm region is extracted by simple threshold as Y:65~255, Cb:25~255, Cr:130~255 of skin color. Noise removal process is then followed with morphological information of the palm such that the palm area has more than quarter of the pixels and the rate of width vs height is more than 2:1 and 8-directional contour tracking algorithm. Then, the stretching algorithm and Sobel mask are applied to extract edges. Another morphological information that the meaningful edges(palm lines) have between 10 and 20 pixels is used to exclude noise edges and boundary lines of the hand from block binarized image. Main palm lines are extracted then by labeling method. This algorithm is quite effective even reading the palm from a photographed by a mobile phone, which suggests that this method could be used in various applications.
Keywords
Morphological Information; 8-directional Contour Tracking Algorithm; YCbCr Color Model; Main Palm Lines;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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