Iris Edge Detection with Bit-Plane Slicing Technique
Kavita Khobragade, Karbhari V. Kale · Advances in Information Technology · 2014
Today’s emerging trend in security systems demands for more authenticate, reliable and fast algorithms to implement biometric system. To deal with the security, physical characteristics like face, iris, fingerprint, etc and behavioral characteristics like DNA, signature, voice etc., plays an important role than personal identification number (PIN) and passwords. The human physical and behavioral characteristics are the biometrics traits used to achieve security. In this busy world, the identification and / or verification should be fast and efficient. This paper provides the study of iris edge detection using bit plane slicing techniques which helps to extract edges as better iris features and get the better recognition results. It has been observed that Canny’s edge detection is computationally more expensive but gives better results. The technique has been tested on CASIA V 1 and it has been observed that the fifth bit plane iris image is better image for feature extraction with Canny Edge Detection.