Performance Analysis and Improvement of Face Recognition Algorithms on TMS320C64x

Author(s)	S.Chitra
Country	India
Abstract	Face recognition is an important part of today’s emerging biometrics and video surveillance markets. As face recognition algorithms move from research labs to real world products, power consumption and cost become critical issues, and DSP-based implementations become attractive. Our goal in this research project was to evaluate the CPU and memory requirements of face recognition algorithms on the TMS320C64x platform to determine the feasibility of implementing DSP-based face recognition systems.
Keywords	Face Recognition, Biometrics, DSP, Optimization
Field	Engineering
Published In	Volume 5, Issue 5, September-October 2023
Published On	2023-10-24
Cite This	Performance Analysis and Improvement of Face Recognition Algorithms on TMS320C64x - S.Chitra - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.7823
DOI	https://doi.org/10.36948/ijfmr.2023.v05i05.7823
Short DOI	https://doi.org/gszvk2

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International Journal For Multidisciplinary Research