Design and Implementation of Face Recognition System Based on XilinxZynq-7000

Zheng Wen, Mengchao Wu, Yizhuang Xie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper designs and implements an improved face recognition method based on Zynq-7000 platform. It presents a new platform for face recognition technology, that is, real-time face recognition technology in little car. It brings the possibility of applying face recognition technology in more new fields. This paper first introduces a typical face recognition processing algorithm, especially the PCA algorithm. Then it decomposes the algorithm to software and hardware for the heterogeneous processing features of the Zynq-7000 processing platform, and finally maps the algorithm to the Zynq-7000 processing platform by using the FPGA. The logic function accelerates the algorithm to realize real-time detection of face recognition.

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/TerritoryChina
CityChongqing
Period11/12/1913/12/19

Keywords

  • Face Recognition
  • Linux
  • PCA
  • Zynq-7000

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