Face recognition based on the combination of histogram features and rough location information of facial parts

Feifei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed. By utilizing the rough location information of the facial parts, the facial area is divided into 5 individual parts, and then APIDQ is applied on each facial component. Recognition results are firstly obtained from different parts separately and then combined by weighted averaging. The experimental result shows that top 1 recognition rate of 97.6% is achieved when evaluated by FB task of the FERET database.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages2065-2069
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 2008 Oct 262008 Oct 29

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Other

Other2008 9th International Conference on Signal Processing, ICSP 2008
CountryChina
CityBeijing
Period08/10/2608/10/29

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

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