New Iris Recognition Algorithm Based on Log-Gabor Wavelet
Ji Shen · Modern Electronics Technique · 2009
Iris recognition has become a best potential technology of identity authentication in biometric feature recognition because of the advantages of invariability,stability and un-intrusion.Combining with local frequency features and local orientation features of Log-Gabor wavelet,an approach for iris recognition is presented.First,iris image is divided into several sub-image.Secondly,Log-Gabor filters of n frequency and m orientation are employed to extract the iris features for every sub-image.Finally,the right user can be judged by image matching using Hamming distance.Experimental results show that the proposed algorithm perform better than convential methods.