Title :
Enhancement of low contrast biometric images using Genetic Algorithm
Author :
Medukonduru, Preethi ; Joshi, Madhuri A.
Author_Institution :
Dept. of Electron. & Telecommun., Coll. of Eng., Pune, India
Abstract :
The quality of the biometric input has a direct impact on the recognition accuracy of the biometric system. Captured biometric images usually suffer from low contrast and noise, which can reduce the Genuine Acceptance Rate (GAR) of the biometric system. In this work, a Genetic Algorithm based Histogram Hyperbolization (GA_HH) technique is proposed for enhancing the low contrast biometric images. Objective evaluation from the results obtained shows the superiority of our method.
Keywords :
biometrics (access control); genetic algorithms; image enhancement; GAR; GA_HH technique; genetic algorithm based histogram hyperbolization; genuine acceptance rate; low contrast biometric image enhancement; recognition accuracy; Biomedical imaging; Biometrics (access control); Indexes; Biometrics; Genetic Algorithm; Histogram Hyperbolization; Image Enhancement;
Conference_Titel :
Industrial Instrumentation and Control (ICIC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/IIC.2015.7150839
