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This paper presents an efficient human recognition system based on vein patterns from the palma dorsa. A new absorption-based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. Euclidean Distance based technique has been used to make a decision on matching. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the recognition system is found to be 99.26% with false rejection rate (FRR) of 0.03%.