Face detection from greyscale images using details from categorized wavelet coefficients as features for a dynamic supervised forward propagation network

Lee Seng Yeong, Li Minn Ang, King Hann Lim, Kah Phooi Seng

Research output: Contribution to journalArticle

Abstract

A dynamic counterpropagation network based on the forward only counterpropagation network (CPN) is applied as the classifier for face detection. The network, called the dynamic supervised forward-propagation network (DSFPN) trains using a supervised algorithm that grows dynamically during training allowing subclasses in the training data to be learnt. The network is trained using a reduced dimensionality categorized wavelet coefficients of the image data. Experimental results obtained show that a 94% correct detection rate can be achieved with less than 6% false positives.

Original languageEnglish
Pages (from-to)3-15
Number of pages13
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume23
Issue number1
DOIs
Publication statusPublished - 01 Feb 2009

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