Abstract
This study focuses on developing an efficient person identification and recognition system using hand based biometrics for secured access control. In most of the previous works on hand-based recognition methods, mostly, the importance was not given to the top side of the hand, which is used in this model. Iin our previous work we have developed a Hand based biometric recognition system using the palm side of the hand. In which, all features were extracted only from the palm side of the hand. Also, in some of the earlier works, the palm side of the hand was used for recognition purpose. The reason behind the selection of palm side of the hand is, it is very easy to capture using a simple scanning device and we can extract the shape based features as well as the palm print from the same image. In this study, we address a new hybrid model for biometrics based human recognition system using the dorsum of hand and the finger knuckle print. Dorsum of hand (backside of hand or topside of hand) is the opposite side of the palm side of the hand. In this study, we highlight some of the advantages of using dorsum of hand for modeling a biometrics based human recognition system. This study proposes a new hybrid model biometric system using Dorsum of Hand. Both the finger knuckle print and hand shape features are proposed to be extracted from the single hand image acquired from a top mounted camera setup. We use some unique features that improve the accuracy of the recognition. Several more significant hand attributes that can be used to represent hand shape and improve the performance are examined. Effective algorithms were used in the process of extracting different kinds of salient features from the dorsum of hand image.
Highlights
Reliability in personal authentication system is key to the security in the networked community
We address a new hybrid model for biometrics based human recognition system using the dorsum of hand and the finger knuckle print
In many of the access control systems, Biometric features such as face, palm print, signature, iris, fingerprint, hand geometry have been suggested for the security
Summary
Reliability in personal authentication system is key to the security in the networked community. In many of the access control systems, Biometric features such as face, palm print, signature, iris, fingerprint, hand geometry have been suggested for the security. Many of the biometric based current researches have been focused on fingerprint and face. The accuracy and reliability using face is currently low as the researchers today continue to tackle with the problems of pose variation, lighting, gesture and orientation. It is difficult to acquire minutiae fingerprint features for some class of persons such as manual labourers, elderly people. Additional biometric features, such as palm prints, can be integrated with the existing authentication system to provide improved level of acuracy in personal authentication.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
