A Multimodal Face and Fingerprint Recognition Biometrics System

Biometrics helps protect users’ data against hackers. There are two groups of biometrics features, the first contains physiological features and the second consists of behavioral traits. In the case of biometrics safety procedure the user does not need to remember his/her password because they always have them. It is proved that physiological biometrics can grant higher accuracy than systems that base on behavioral traits. One of the most popular physiological features are fingerprints and face. In the work presented in this paper, these two features are taken into consideration at the same time in a multimodal system. The accuracy of user identification is calculated for each of the two features individually and also for them when combined together.

[1]  P. Gnanasivam,et al.  An efficient algorithm for fingerprint preprocessing and feature extraction , 2010, Biometrics Technology.

[2]  K. R. Venugopal,et al.  Fingerprint Recognition Using Minutia Score Matching , 2010, ArXiv.

[3]  Khalid Saeed,et al.  A Multimodal Biometric User Identification System Based on Keystroke Dynamics and Mouse Movements , 2016, CISIM.

[4]  Ajit Singh,et al.  Multimodal Biometric System , 2013 .

[5]  Piotr Rapta,et al.  An improved algorithm for feature extraction from a fingerprint fuzzy image , 2013 .

[6]  Anil K. Jain,et al.  Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition , 2004, ECCV Workshop BioAW.

[7]  Marina L. Gavrilova,et al.  Multimodal Biometrics and Intelligent Image Processing for Security Systems , 2013 .

[8]  Abhay Wagh,et al.  Improved Fisher Face Approach for Human Recognition System using Facial Biometrics , 2012 .

[9]  Khalid Saeed,et al.  Exploring Image Binarization Techniques , 2014, Studies in Computational Intelligence.

[10]  Aamir Saeed Malik,et al.  A combined face, fingerprint authentication system , 2014, The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014).

[11]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Arun Ross,et al.  Multimodal biometrics: An overview , 2004, 2004 12th European Signal Processing Conference.