Enhanced Multimodal Biometric Recognition Based upon Intrinsic Hand Biometrics

What is it about?

Biometric recognition is under extensive research for the last two decades for identifying individuals based on their physical or behavioral characteristics. Initially, the researchers were focusing on the extrinsic physical modalities only like fingerprint, face shape, palm-print, etc. Besides, some behavioral modalities were also under research like human gait, keyboard dynamics, signature style, etc. Some very efficient and reliable systems are proposed by researchers. Researchers found that if they combine more than one modality in their proposed biometric identification system, the overall performance is generally improved. In addition to that, it is also observed that the shortcomings of individual biometric modalities may be suppressed in the multi-modal setting of a biometric system. For combining more than one modality, the researchers proposed different fusion techniques. An effective fusion technique is necessary for getting efficient multi-modal biometric identification results. Lately, the researchers found that the human physical characteristics found outside the body (extrinsic modalities) are more vulnerable to imposter attacks in comparison with the characteristics found inside the human body (intrinsic modalities). Therefore, intrinsic modalities are recently focused on by the biometric research community. This research work is to focus on enhancement in the anti-spoof attack capability of a biometric system. Therefore, the chances of fooling the biometric system by using some unlawful means are minimized to an almost impossible level. It is achieved through the use of intrinsic modalities only in our multi-modal biometric system. Three intrinsic modalities related to the human hand are selected; Pulse Response, Hand Geometry, and Finger Vein.

Featured Image

Photo by Aashish R Gautam on Unsplash

Photo by Aashish R Gautam on Unsplash