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2D(PC) 2 a for face recognition with one training image per person

  • Jun Bao Li*
  • , Shu Chuan Chu
  • , Jeng Shyang Pan
  • *Corresponding author for this work
  • Cheng Shiu University
  • National Kaohsiung University of Science and Technology

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

Abstract

In the real-world application of face recognition system, owing to the difficulties of collecting samples or storage space of systems, only one sample image per person is stored in the system, which is so-called one sample per person problem. In this paper, we propose a novel algorithm, called 2D(PC) 2 A, to solve this problem. The procedure of 2D(PC) 2 A can be divided into the three stages: 1) creating the combined image from the original image 2) performing 2DPCA on the combined images; 3) classifying a new face based on assembled matrix distance (AMD). Experiments implemented on two real dataseis show that 2D(PC)2A method is an efficient and practical approach for face recognition.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages131-134
Number of pages4
DOIs
StatePublished - 2007
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan, Province of China
Duration: 26 Nov 200728 Nov 2007

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume1

Conference

Conference3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period26/11/0728/11/07

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