Efficient face recognition based on GAP feature

Jisu Kim, Jeonghyun Baek, Euntai Kim

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

Abstract

In this paper, we propose efficient face recognition based on Grayscale Arranging Pairs (GAP) feature. GAP is a robust holistic feature considering the intensity relationships about all of pixels. Therefore, it has good performance for face recognition. However, GAP feature consider all of pixels and it takes high computational time. In order to reduce computational time, we uses GAP feature in terms of dominant parts such as eyes, nose, mouth and so on. Considering dominant pixels reduces computational time as well as maintains recognition performance. In experiment result, we compare the proposed method with GAP feature in Extended Yale B database. This dataset has various illuminations but the recognition performance of the proposed method has good performance with low computational time.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages607-609
Number of pages3
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - 2014 Dec 16
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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