• Prof. Puneeth H J
• Lokesh M
• Neelupher M
• Sabjan P J
• Kusuma S

Biometric applications have been used globally in everyday life. However, conventional biometrics is created and optimi zed for high-security scenarios. Being used in daily life by o rdinary untrained people is a new challenge. Facing this chal lenge, designing a biometric system with prior constraints of ergonomics, we propose ergonomic biometrics design mode l, which attains the physiological factors, the psychological f actors, and the conventional security characteristics. With th is model, a novel hand-based biometric system, door knob h and recognition system (DKHRS), is proposed. DKHRS has the identical appearance of a conventional door knob, whic h is an optimum solution in both physiological factors and p sychological factors. In this system, a hand image is capture d by door knob imaging scheme, which is a tailored omnivis ion imaging structure and is optimized for this predetermine d door knob appearance. Then features are extracted by loca l Gabor binary pattern histogram sequence method and class ified by projective dictionary pair learning.

DKHRS (Door Knob Hand Recognition system),DKI(door knob imaging scheme), DPL(Dictionary pair learning), LGBPHS(local Gabor binary pattern histogram sequence).

"Door Knob Hand Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.228-232, May-2019, Available :http://www.jetir.org/papers/JETIRCD06040.pdf

"Door Knob Hand Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp228-232, May-2019, Available at : http://www.jetir.org/papers/JETIRCD06040.pdf