Design of face identification platform based on S3C2440

LI Peng-fei; XU Jin-kai; HAN Wen-bo; SONG Hong-fei

doi:10.3788/YJYXS20142903.0417

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Design of face identification platform based on S3C2440

更新时间：2020-08-12

- Design of face identification platform based on S3C2440
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 3, Pages: 417-421(2014)
- 作者机构：
  
  长春理工大学光电工程学院,吉林长春,130022
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20142903.0417
  CLC： TP316.2;TP317.4
- Received：17 September 2013，
  
  Revised：30 September 2013，
  
  Published Online：01 November 2013，
  
  Published：25 April 2014
- 稿件说明：
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李鹏飞, 许金凯, 韩文波, 宋鸿飞. 基于S3C2440的人脸识别平台的设计[J]. 液晶与显示, 2014,29(3): 417-421

LI Peng-fei, XU Jin-kai, HAN Wen-bo, SONG Hong-fei. Design of face identification platform based on S3C2440[J]. , 2014,29(3): 417-421
李鹏飞, 许金凯, 韩文波, 宋鸿飞. 基于S3C2440的人脸识别平台的设计[J]. 液晶与显示, 2014,29(3): 417-421 DOI： 10.3788/YJYXS20142903.0417.

LI Peng-fei, XU Jin-kai, HAN Wen-bo, SONG Hong-fei. Design of face identification platform based on S3C2440[J]. , 2014,29(3): 417-421 DOI： 10.3788/YJYXS20142903.0417.

摘要

为了实现低成本智能门禁/监控系统的需要，设计了基于S3C2440处理器的人脸识别平台，对该平台所采用的采集/显示驱动算法和人脸识别算法进行研究。使用Samsung公司的S3C2440处理器和OmniVision公司的OV9650摄像头组成硬件平台，利用Harris算法提取采集到的人脸图像的特征点，并与数据库中已有的数据进行匹配得出相关信息。为了加快人脸图像实时采集匹配的速度，平台开启了cache加速程序。使用该平台设计的智能门禁/监控系统，实现了对人脸图像的快速识别，并且结构简单，成本低廉。该平台可以满足门禁和监控等场合的需要。

Abstract

To realize the need of low-cost intelligent access control/monitoring system

this paper designs the platform of the face recognition based on S3C2440 processor and researches the acquisition/display driver algorithms and face recognition algorithm based on the platform.Using Samsung's S3C2440 processor and OmniVision's OV9650 camera to build the hardware platform

the feature points of human face images is extracted by Harris algorithm

and the data in the database is matched to draw relevant information. In order to accelerate real-time facial image capture-matching the speed of the platform

the cache is opened to accelerate the program.The platform is designed using intelligent access control/monitoring systems to achieve the rapid identification of facial images

a simple structure and low cost.It meets the need of monitoring applications.

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references

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Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China

School of Photoelectric Engineering, Changchun University of Science and Technology

College of Mechanical and Electrical Engineering, Changchun University of Science and Technology

Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences Changchun

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