Power Minimization Architecture for Multimodal Biometric System using Cadence
Manasa M.G1, Gayathri S2

1Manasa M.G*, Assistant Professor, Dept. of ECE, MIT, Mysuru.
2Gayathri S, Associate Professor, Dept. of EC, SJCE, Mysuru.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 12, 2020. | Manuscript published on April 30, 2020. | PP: 1-5 | Volume-6 Issue-9, April 2020. | Retrieval Number: 100.1/ijese.H2478046820 | DOI: 10.35940/ijese.H2478.046920
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Multimodal biometrics, Low power architecture, Ear recognition.