Role of Modified Gabor Filter Algorithm in Multimodal Biometric Images

Nowadays, in every technology sector, security issues are one of major concerns. For resolving these issue cryptographic features extraction algorithm is frequently used. The main feature in computer security is the cryptography techniques. In our work, multimodal biometric images are used as input and features like shape, size, edge and texture are extracted. This is executed by applying feature extraction algorithm like Gabor filter. In this paper we are explaining about multimodal biometrics its role and effect of Gabor Filter on multimodal biometrics images. We have discussed the implementation of modified Gabor Filter algorithm by using MATLAB on parameters such as age and gender. We have also discussed other parameters like key size, input size, time taken, simulation, memory requirement, CPU usage, matching algorithm, time delay, false acceptance rate, false rejection rate.