Salient Keypoint Detection using Entropy Map for Iris Biometric
Beeren Sahu, Pankaj K. Sa, Banshidhar Majhi · 2015
This paper presents a novel approach to detect salient keypoints from the textured region in iris of an individual for efficient recognition. Salient regions are visually pre-attentive distinct portions in an image. Entropy from local segments within an image is used as the significant measure of saliency. To know the entropy value of such portions, an entropy map is generated. Local feature extraction is achieved from the segmented annular iris. Salient keypoint detection is performed using the proposed method, and subsequently each point is represented using Speeded-Up Robust Feature (SURF) descriptor. Finally, matching is performed and the recognition accuracy is calculated from the Receiver Operating Characteristic (ROC) curve. All experiments are done on publicly available BATH and CASIAv3 databases.