Universiti Teknologi Malaysia Institutional Repository

Enhancing feature selection for face detection using genetic algorithm

Mohd. Zin, Zalhan and Khalid, Marzuki and Yusof, Rubiyah (2007) Enhancing feature selection for face detection using genetic algorithm. In: Malaysia-Japan International Symposium on Advanced Technology 2007 (MJISAT2007), 2007, Kuala Lumpur.

Full text not available from this repository.

Abstract

Generally, a large number of features are required to be selected for training purposes of face detection system. Often some of these features are irrelevant and does not contribute directly to the face detection algorithm. This creates unnecessary computation and usage of large memory space. In this paper we propose to enlarge the features search space by enriching it with more types of features. With an additional seven new feature types, we show how Genetic Algorithm (GA) can be used, within the Adaboost framework, to find sets of features which can provide better classifiers with a shorter training time.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:detection, genetic algorithm
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:13959
Deposited By: Mrs Liza Porijo
Deposited On:16 Aug 2011 09:56
Last Modified:08 Aug 2017 08:11

Repository Staff Only: item control page