An Iris Recognition Algorithm Based on Cross Power Spectrum
基于互功率谱的虹膜识别方法

An encoding algorithm based on cross power spectrum is proposed. A two-step locating approach combining coarse location with fine location is used to locate the iris,which can effectively decrease the blindness of searching computation.To extract the feature of the iris,the iris image is firstly divided into many blocks,and then the cross power spectra between each block and 2D Gabor wavelet family are computed and the blocks are encoded.Finally,the pattern match is executed by using Hamming distance.The results show that this approach has very high computational speed and good recognition rate and is superior to Daugman's method in coding performance.