Iris Recognition Method Based on the Morlet Wavelet Transform Real Coefficients
نویسنده
چکیده
This paper presents an iris recognition method based on the Morlet wavelet transform real coefficients. 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 wavelet transform real coefficients of 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 real 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 98.474% that can meet the demand of iris recognition.
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