Face and voice authentication System (2015,Indian Institute of Technology, Delhi)
this paper presents a multimodal authentication (person identification) system based on simultaneous recognition of face and speech data using a novel bio-inspired architecture powered by the CM1K chip. The CM1K chip has a constant recognition time
irrespective of the size of the knowledge base, which gives massive time gains in learning and recognition over software implementations of similar methods
Real-time, high performance face recognition system, Part1 – IEEE publication, 2011, ANURAG
Automated Face recognition is a technique employed in wide-range of practical applications, which include access control, identification systems, surveillance and law enforcement applications to name a few, and future improvements promise to spread the use of face recognition further still. Radial Basis Function Networks (RBFN) have proven effective approach for face recognition. Software implementations fail to capture the inherent parallelism of RBFN and incur long training time.