Abstract
The biometric system that based on single biometric measure (Unimodal) are usually contained variety of problems and limitation like noisy data, does not provide high security and non-university, so we used the multibiometric system to improve the recognition rate, get better security than the unimodal systems and higher efficiency. This study aims to identify a person by using multibiometric traits (Signature, Face and Fingerprint) by using different technique (Singular Value Decomposition (SVD,PCA and wavelet energy). The quality and accuracy of the identification and recognition of the person are measured in this system by computing the Peak Signal to Noise Ratio (PSNR) and the Mean Square Error (MSE) for face, fingerprint, and signature
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
