Hand Posture Recognition via Sparse Representation
نویسندگان
چکیده
We propose a new method for hand gesture recognition via sparse representation. Initially, we present the region of the hand is detected based on skin color segmentation in the YCbCr color space and image normalization. Then, the recognition of hand posture is casted as the sparse representation of a test image with a set of the database images. The l1minimization is applied to accurately and efficiently calculate the sparse representation so as to classify different postures under a variety of conditions. Experimental results demonstrate the effective and robust performance of the proposed method.
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تاریخ انتشار 2010