Prodigious Utilization of Genetic Algorithm in Tuning Gabor filter parameters in the Application of Iris Recognition
Keywords:
Daugman’s method, Derivative Of Gaussian (DOG),Genetic Algorithm, Gabor Filter, Iris Recognition, Laplacian Of Gaussian (LOG)Abstract
Gabor filters find an important place in image processing field but the use is restricted because of its
computational complexity. Many methods are used in practice for security systems. Most common being the face recognition, voice recognition and biometric methods. Biometric systems are finding a lot of acceptances in the market. Mostly the finger print recognition and the iris recognition. Accurate automatic
personal identification is critical in a variety of applications in our electronically interconnected society. Biometrics, which refers to identification based on physical or behavioral characteristics, is being increasingly adopted to provide positive identification with a high degree of confidence. Among all the biometric techniques, IRIS based authentication systems have received the most attention because of the uniqueness of iris. Due to its reliability and nearly perfect recognition rates, iris recognition is used in high security areas In this paper, a systematic approach is introduced to design the parameters of the Gabor filter banks for iris recognition. In this paper we also
introduce how the Genetic Algorithm (GA) can be used to tune the parameters of the Gabor filter banks. The paper also explains how Daugman’s method can be used from a different point of view. We have also tried to show how Gabor filters can be replaced by a different set of filters, i.e., the Derivative of Gaussian (DoG) and the Laplacian of Gaussian (LoG) without sacrificing the recognition rate
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
