Power Minimization Architecture for Multimodal Biometric System using Cadence

G ManasaM., S. Gayathri
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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.
基于Cadence的多模态生物识别系统功耗最小化架构
用生物识别系统识别或验证的人的生理或行为特征。预处理块具有fir滤波器,其中通过在其内部引入低功耗架构来提高能效。低功耗架构在fir滤波器部分的实现将进一步优化各种参数,如功率、面积和时序。因此,这将有助于我们更快、更有效地进行生物识别过程。
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