Proposed framework for cancelable face recognition system

This paper suggests two novel presented cancellable biometric realization approaches recognition and template protection. In the suggested scheme, the A Trous Transform (AT) algorithm is applied on the face images. Then the AT divides the image into seven subbands. The resultant map is encrypted with the Homomorphic Filtering Masking (HFM) encoding algorithm is utilized for cancelable face recognition system. Then the second HFM utilized is produced from the image. This technique can be used to advance a frequency domain procedure for making this system for biometric template protection. The second algorithm presents a new technique to detect the features for Facial Expression Recognition (FER). This technique is established on segmentation process by Canny Edge Detection (CD) and Hough Transform (HT) with the number of feature points as the key parameters for classification. This algorithm is set up analysis the FER with the number of HT feature points as the key parameters for classification. Simulation results using evaluation metrics False Positive Rate (FPR), False Negative Rate (FNR), Equal Error Rate (EER), Receiver Operating Characteristic (ROC) and Area under ROC (AROC) prove that the first proposed cancelable biometric technique with the second key are best with comparing the other keys.The obtained results clear that the second suggested technique has sucesseded in detection the features of FER for sad, happy, neutral, angry, disgust, fear, surprise cases and the face positions.