Open AccessPower Minimization Architecture for Multimodal Biometric System using Cadence
Author(s) -
Manasa M. G,
S. P. Gayathri
Publication year - 2020
Publication title -
international journal of emerging science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2319-6378
DOI - 10.35940/ijese.h2478.046920
Subject(s) - biometrics , computer science , cadence , preprocessor , block (permutation group theory) , filter (signal processing) , minification , power (physics) , architecture , artificial intelligence , real time computing , computer vision , electronic engineering , engineering , mathematics , art , physics , geometry , quantum mechanics , visual arts , programming language
Physiological or behavioral characteristics of a person being identified or verified using biometric systems. The preprocessing block has the fir filter in which enhanced energy-efficiency has been obtained by introducing the low power architectures within it. The implementation of low power architectures in the fir filter part will further provide the optimization in the various parameters such as power, area and timing. Therefore, this will help us to do the biometrics process faster and efficient.