Multimodal Biometric system using Face and Fingerprint-OpenCV
Biometric systems which based only on one-modal biometrics do not aften meet the desired performance requirements for large user population applications, because of some problems like;noisy data, intra-class variations, restricted degrees of freedom, non-university, spoof attacks, andunacceptable error rates. Multimodal biometrics system means using a combination of two or more biometric modalities in one single system for human identification and verification. The most convincing reason to combine different modalities is to increase the system accuracy which can be done when using features of different biometrics that are not fully independent.
The fingerprint and facial images of a person was captured .We create dataset and extract features of fingerprint images and facial images.Output score from these two images will be given as input to the SVM(Support Vector Machine).
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