Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network
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. C...
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| Format: | Article |
| Language: | English |
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Springer Science + Business Media
2009
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| Online Access: | http://ir.unimas.my/id/eprint/18748/ http://ir.unimas.my/id/eprint/18748/1/978-3-540-89619-7_47%20%28abstrak%29.pdf |
| _version_ | 1848838574399553536 |
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| author | Boon, David Liang Bong Kung, Chuang Ting Yin, Chai Wang |
| author_facet | Boon, David Liang Bong Kung, Chuang Ting Yin, Chai Wang |
| author_sort | Boon, David Liang Bong |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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% |
| first_indexed | 2025-11-15T06:57:43Z |
| format | Article |
| id | unimas-18748 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:57:43Z |
| publishDate | 2009 |
| publisher | Springer Science + Business Media |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-187482017-12-12T00:56:58Z http://ir.unimas.my/id/eprint/18748/ Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network Boon, David Liang Bong Kung, Chuang Ting Yin, Chai Wang QA75 Electronic computers. Computer science 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% Springer Science + Business Media 2009 Article PeerReviewed text en http://ir.unimas.my/id/eprint/18748/1/978-3-540-89619-7_47%20%28abstrak%29.pdf 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 http://www.springer.com/series/4240 |
| spellingShingle | QA75 Electronic computers. Computer science Boon, David Liang Bong Kung, Chuang Ting Yin, Chai Wang Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title | Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title_full | Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title_fullStr | Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title_full_unstemmed | Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title_short | Novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| title_sort | novel face recognition approach using bit-level information and dummy blank images in feedforward neural network |
| topic | QA75 Electronic computers. Computer science |
| url | http://ir.unimas.my/id/eprint/18748/ http://ir.unimas.my/id/eprint/18748/ http://ir.unimas.my/id/eprint/18748/1/978-3-540-89619-7_47%20%28abstrak%29.pdf |