Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network

Boon, David Liang Bong and Kung, Chuang Ting and Yin, Chai Wang (2009) Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network. Advances in Intelligent and Soft Computing, 58 (2009). pp. 483-490. ISSN 1867-5662

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Official URL: http://www.springer.com/series/4240

Abstract

Bit-level information is useful in image coding especially in image compression. A digital image is constructed by multilevel information of bits, called as bit-plane information. For an 8-bits gray level digital image, bit-plane extraction has ability to extract 8 layers of bit-plane information. Conventional neural network-based face recognition usually used gray images as training and testing data. This paper presents a novel method of using bit-level images as input to feedforward neural network. CMU AMP Face Expression Database is used in the experiments. Experiment result showed improvement in recognition rate, false acceptance rate (FAR), false rejection rate (FRR) and half total error rate (HTER) for the proposed method. Additional improvement is proposed by introducing dummy blank images which consist of plain 0 and 1 images in the neural network training set. Experiment result showed that the final proposed method of introducing dummy blank images improve FAR by 3.5%

Item Type: E-Article
Uncontrolled Keywords: Biometrics, Face recognition, Feedforward neural networks, Image coding, Soft computing, Speech recognition, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, research, Universiti Malaysia Sarawak
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Saman
Date Deposited: 28 Nov 2017 02:31
Last Modified: 12 Dec 2017 00:56
URI: http://ir.unimas.my/id/eprint/18748

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