An Edge Extraction Algorithm of Thenar Palmprint Image Based on Wavelet Multi-scale

This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale transfer characteristic of wavelet transform modules of the image edge and the noise, we combine the wavelet modulus maxima multi-scale algorithm to extract the edge of the the nar palm print image. The results of experiments show that this algorithm can detect rich edge details and reduce the affect of noise. The edges fused have precise position. The shortcoming of the algorithm is the poor continuity of the edges.