Biometric Identification Based on Iris Recognition
نویسندگان
چکیده
منابع مشابه
A Personal Biometric Identification Technique based on Iris Recognition
Biometric methods designed for the identification of individuals are nowadays increasingly being used in the routine tasks like medical check-up, security etc. These powerful techniques are slowly replacing the less secure ID or password methods for user authentication. Iris recognition is especially attractive due to the high degree of entropy per unit area of the iris, as well as the stabilit...
متن کاملBiometric Iris Recognition Based on Hybrid Technique
Iris Recognition is one of the important biometric recognition systems that identify people based on their eyes and iris. In this paper the iris recognition algorithm is implemented via histogram equalization and wavelet techniques. In this paper the iris recognition approach is implemented via many steps, these steps are concentrated on image capturing, enhancement and identification. Differen...
متن کاملBiometric Identification Based on Iris Pattern
Iris representation and recognition of humans based on characteristic eye features have taken a significant place in security and identification systems in the past two decades. The first steps in this field were made in the early 90's of the last century by John Daugman who designed the integrodifferential operator for detecting an iris and a pupil in an image. This paper will analyze the proc...
متن کاملBiometric Personal Identification based on Iris Patterns
This paper discusses an analysis of human iris patterns for recognition of biometric system which consists of a segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region is then normalized into a rectangular block with constant dimensions to account for imaging...
متن کاملBiometric Personal Identification Based on Iris Patterns
A new system for personal identification based on iris patterns is presented in this paper. It is composed of iris image acquisition, image preprocessing, feature extraction and classifier design. The algorithm for iris feature extraction is based on texture analysis using multi-channel Gabor filtering and wavelet transform. Compared with existing methods, our method employs the rich 2-D inform...
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ژورنال
عنوان ژورنال: JOURNAL OF EDUCATION AND SCIENCE
سال: 1970
ISSN: 2664-2530
DOI: 10.33899/edusj.1970.58949