• Prof.Deepali Lokare
• Ms. Rohini Birajdar
• Ms. Priyanka Kakade
• Ms. Pournima Indalkar

Multimodal Biometric framework is a combination of more than one biometric innovation. In the vast majority of security frameworks has true uses a single biometric system for confirmation that is just a single fingerprint , palm print, face, voice or iris which is known as unimodal biometrics framework. A portion of the limitations of unimodal biometrics are improve by mixing data from different biometrics frameworks for extraordinary individual feature. This paper introduces a multimodal framework that joins the highlights of fingerprint and face to defeat a few downsides of unimodal biometrics. In this propound framework, Pre-processing is a fundamental piece of image pre-processing in which it highlights the execution of critical-advance technique. In this system series of pre-processing techniques are applied on captured image for the extracting unique features from face and fingerprint. We propose strategy which has better execution as compared with uni-modal methodologies utilizing separately with a face or a palm print. The error rate is decreased by utilizing a multimodal biometric framework.

Bio-measurements, Multi-Modal System, Fusion, Fingerprint, Face, Uni-Modal, Image Pre-processing, Security.

"Survey of Security Using Multimodal Biometrics System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.314-316, May-2019, Available :http://www.jetir.org/papers/JETIRBO06060.pdf

"Survey of Security Using Multimodal Biometrics System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp314-316, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06060.pdf