Scheme of Iris Detection and Extraction of Human Being
Yong Qiu · Jisuanji fangzhen · 2011
Iris has stability,reliability and non-invasiveness.So iris can attain an higher recognition rate than other biometrics methods such as fingerprint,face and voice recognition.But it is difficult to extract iris from an eye image.We proposed a scheme of iris detection and extraction based on John Daugman's Integro-differential operator.First,based on the original image gray histogram,the image was projected in the vertical and horizontal direction to approximately estimate the center coordinates and then get the inside edge of iris.After that,we computed the outer edge of iris using the area integero-differential operator.In recognition process,we used Gabor for extracting feature of iris and compared the Hamming distance between two iris features for recognition.The design is provably effective for one to one iris recognition through the experiment.