Iris recognition method based on the imaginary coefficients of Morlet wavelet transform
Zhonghua Lin, Bibo Lu · 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery · 2010
This paper presents an iris recognition method based on the imaginary coefficients of Morlet wavelet transform. Firstly, it locates the iris, then makes normalization to the iris image and gets 512 columns multiplying 64 rows rectangular iris image, ensures the effective iris area. Secondly, it makes one dimension Morlet wavelet transform row by row to the iris image in the effective iris area, gets a series of imaginary coefficients of wavelet transform at different scales and gets the distribution figure of these coefficients of different scales. Thirdly, it makes binary codes to the iris image according to the imaginary coefficients of different scales and figures the iris pattern by iris codes. Finally, it sorts the different iris patterns by pattern matching method and gives the recognition results. Many experiments show the recognition rates of this method can reach 99.641% that can meet the demand of iris recognition.