Pupil Segmentation from IRIS Images using Modified Peak Detection Algorithm
Perumal R. Srinivasa, Mouli P.V.S.S.R. Chandra · International Journal of Computer Applications · 2011
Iris segmentation is an important phase in iris recognition and identifies the accuracy of preprocessing. This paper proposes improved peak detection algorithm to locate the pupil accurately. The modified peak detection algorithm determines the optimal peak wh ich helps for pupil localization. Thresholding is done based on the peak determined. Finally canny edge detector is applied on the binary threshold image to separate the pupil from the image. The proposed method was tested on CASIA and UBIRIS datasets and the results show that the proposed method segments the pupil from the given iris image. Subjective and objective evaluation proves the efficacy of the proposed method .