Vascular Pattern Recognition Using Clahe and Median Filtering Methods
نویسندگان
چکیده
This paper proposes an improved hand dorsa (back of hand) pattern extraction algorithm for biometric personal authentication applications. The proposed method employs the existing database of near Infrared (IR) images of palm dorsal hand vein surface. The proposed system include: 1) Detection of Region of Interest from input image 2) Hand dorsa vein extraction by Contrast-Limited Adaptive Histogram Equalization (CLAHE) and median filtering. The input image is segmented using an optimum thresholding algorithm. The knuckle points are used as key points for the image normalization and extraction of region of interest (ROI). The extracted ROI is processed to get the reliable vein pattern.
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