Abstract
Encrypted fusion of face and iris biometrics
Highlights
Image fusion is an essential step in multimodal biometrics
Image fusion is a process by which two images are fused together to obtain a single image
The proposed Discrete Wavelet Transform (DWT) consists of four steps: Enhancement, decomposition, fusion and encryption
Summary
Image fusion is an essential step in multimodal biometrics. Image fusion is a process by which two images are fused together to obtain a single image. The multimodal biometric system in ElAlami, Amin, and El-Alfi (2012) combines face and fingerprint biometrics in matching score level. They used the gray-level co-occurrence matrix (GLCM) as an effective method for extracting the texture features in the face recognition and crossing number method is used for fingerprint feature extraction. In their work independent databases are used for palm print and fingerprint and they are combined by assigning a fingerprint image to each palm print image Their shows that multi modal biometrics are more efficient than conventional palm print based methods.
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