Variations of Intensity Values: Basis for Iris Identification
This paper presents a new method of iris identification algorithm for iris recognition. The proposed iris identification algorithm consists of three major fundamental steps: image processing; image localization; and IER detection and extraction. In image processing, a picture of an individual's eye is taken and processed into an 8-bit BMP image. The histogram of the image is then analyzed to locate the center point of the pupil as basis for the image localization process. In localization, the iris inner boundary (pupil area) is detected by performing an algorithm based on the logic of variation of intensity values. Iris recognition is obtained by locating the left iris area boundary of a particular eye image. The IER is then detected and extracted to be used for pattern matching.