A Multi-Algorithmic Face Recognition System
Soumitra Kar, Swati Hiremath, Dilip G. Joshi, Vinod.K. Chadda, Apurva Bajpai · 2006
The importance of utilising biometrics to establish personal authenticity and to detect impostors is growing in the present scenario of global security concern. Development of a biometric system for personal identification, which fulfills the requirements for access control of secured areas and other applications like identity validation for social welfare, crime detection, ATM access, computer security, etc. is felt to be the need of the day. Face recognition has been evolving as a convenient biometric mode for human authentication for more than last two decades. Several vendors around the world claim the successful working of their face recognition systems. However, the Face Recognition Vendor Test (FRVT) conducted by the National Institute of Standards and Technology (NIST), USA, indicates that the commercial face recognition systems do not perform up to the mark under the variations ubiquitously present in a real-life situation. Availability of a largely accepted robust face recognition system has proved elusive so far. Keeping in view the importance of indigenous development of biometric systems to cater to the requirements at BARC and elsewhere in the country, the work was started on the development of a face-based biometric authentication system. In this paper, we discuss our efforts in developing a face recognition system that functions successfully under a reasonably constrained set-up for facial image acquisition.