基于纹理分析和小波变换的虹膜识别算法研究-信号与信息处理专业论文.docxVIP

Subject : Study on Algorithm of Iris Recognition Based on Texture Analysis and Wavelet Transform Specialty : Signal and Information Processing Name : Song Jie (Signature) Instructor: Wu Dongmei (Signature) ABSTRACT With the rapid development of information technology, people have increasingly high requirements in identification accuracy, practicality and safety. The traditional identification methods can’t satisfy the requirements of the modern world. In recent years, based on biological recognition technology on its own unique advantages obtained a rapid development and application. In the existing each kind of biometrics, iris is non-invasive, uniqueness and stability etc, and use it to identify themselves with higher accuracy, at present the iris recognition technology is considered the most has the broad application prospect of biometrics one. General iris identification systems mainly include iris image acquisition, iris image preprocessing, iris feature extraction and iris feature matching four parts. Among them prevailing localization and feature extraction is the most important part. According to the ring feature and gray variation characteristics of iris inherent, this paper will divide iris position into two parts: inside edge localization and outer edge localization. First, the inside edge of the positioning threshold segmentation and curve fitting. According to gray histogram segment pupil area, using binary preliminary will pupil segmentation out, then in pupil binary image in search for the biggest connecting block eliminate eyelash and part of the darker areas in the interference, and finally in binary image finds the pupil edge points, the least-square method estimates the radius and circle parameters of the pupil edge, get the accurate positioning of iris inside edge. Then, positioning the outside edge, adopted calculus operator, according to iris inner boundary parameter narrow within the scope of the centre of a circle, can avoid blind search