Intelligent face locator for smartphone

Teik Toe Teoh, Yok Yen Nguwi, Siu Yeung Cho

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

5 Citations (Scopus)


The market for smartphones is set for serious expansion. Juniper Research [3] is predicting the annual sales of smartphones will swell to 300 million by 2013 - up from about 153 million in year 2008, a rise of around 95 percent. Therefore, the development of mobile phone software well deserves wider attention. This paper introduces a real-time face processing application that was tested in Windows Mobile environment. This work is targeted towards the development of an efficient and intelligent face recognition system. The system is capable of locating the face region using derivative-based filtering, and classifying human face through the use of AdaBoost classifier. The motivation behind this work is that we aim to develop a robust model that can help to locate face for a portable face recognition application. The experiments carried out show that we have achieved the features of mobile application: speed and efficiency, that is able to deploy facial recognition into smartphone.

Original languageEnglish
Title of host publicationProceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 - Seoul, Korea, Republic of
Duration: 5 Jul 20098 Jul 2009

Publication series

NameIEEE International Symposium on Industrial Electronics


ConferenceIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering


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