• Bhushan Kumar
• Ravi Raj Choudhary

This paper represents an effective multimodal face and fingerprint biometrics authentication system. The features of each face images are combined with the features of their respective fingerprint images. The verification accuracy depends on the classification of pictures is identical to that with original pictures. Preliminary results demonstrate that the proposed scheme is an efficient and a cheap solution to maintain the security of information or physical property in today's fast-paced networked world. Also, the proposed system can also be advantageous to handle the issues of unimodal biometric techniques. The use of the unimodal biometric system is very low because of physiological defects, modes of the user and their environment. Some of those drawbacks are alleviated by providing the same identity for multiple pieces of evidence. Here a multimodal biometric system is proposed based on 2D-DWT and Random Forest. In the proposed method, single level 2D-DWT extracted the Face features from face images. Finger features are extracted from Fingerprint images using 3-level 2D-DWT. Using 2D-DWT, the distinct frequencies features of face and fingerprint are extracted. Weighted Summation Fusion method is used to combine these unimodal features. A Random Forest Classifier is used for classification. An average classification rate of 98.5% achieved with the proposed method.

Biometric authentication, Multimodal biometric system, Face, Fingerprint, DWT, 2D-DWT, Haar Wavelets, Random Forest classification.

"Multimodal Face and Fingerprint Biometrics System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.263-268, April-2018, Available :http://www.jetir.org/papers/JETIR1804051.pdf

"Multimodal Face and Fingerprint Biometrics System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp263-268, April-2018, Available at : http://www.jetir.org/papers/JETIR1804051.pdf