Authenticity for protecting Biometric Data: Facial Template and Iris Detection

A biometric is defined as a unique, measurable, biological characteristic or trait for automatically recognizing or verifying the identity of a human being. Digital watermarks can be used to verify the authenticity or integrity of the original signal or to show the identity of its owners. The conventional digital watermarking schemes uses an arbitrary digital pattern as a watermark which has limitations in providing ownership of watermarking. The proposed technique of watermarking include combined watermark embedding and extraction using SVD (Singular Value Decomposition), DWT (Discrete Wavelet Transform) and DCT (Discrete Cosine Transform). The proposed technique is based on the face detection and iris detection for authenticity and ownership of original data. This proposed technique will give us the better results of security and better quality of data without any loss during transmission of data.