Bimodal person identification system based on speech and signature recognition's
This research work aims to develop automatic person identification systems based on three approaches including speech, hand signature, and bimodal biometric technologies. In order to develop the speech system, the Mel-Frequency Cepstral Coefficient (MFCC) and the Vector Quantization (VQ) are used,...
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| Format: | Monograph |
| Language: | English |
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s.n
2013
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| Online Access: | http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf |
| _version_ | 1848781670292914176 |
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| author | Gunawan, Teddy Surya |
| author_facet | Gunawan, Teddy Surya |
| author_sort | Gunawan, Teddy Surya |
| building | IIUM Repository |
| collection | Online Access |
| description | This research work aims to develop automatic person identification systems based on three approaches including speech, hand signature, and bimodal biometric technologies. In order to develop the speech system, the Mel-Frequency Cepstral Coefficient (MFCC) and the Vector Quantization (VQ) are used, whereas the hand signature system is based on global features and Multilayer Perceptron (MLP) architecture for Artificial Neural Network (ANN). The bimodal system is based on fusing the speech and hand signature systems at decision level |
| first_indexed | 2025-11-14T15:53:15Z |
| format | Monograph |
| id | iium-38774 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:53:15Z |
| publishDate | 2013 |
| publisher | s.n |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-387742015-05-14T07:33:48Z http://irep.iium.edu.my/38774/ Bimodal person identification system based on speech and signature recognition's Gunawan, Teddy Surya QA75 Electronic computers. Computer science This research work aims to develop automatic person identification systems based on three approaches including speech, hand signature, and bimodal biometric technologies. In order to develop the speech system, the Mel-Frequency Cepstral Coefficient (MFCC) and the Vector Quantization (VQ) are used, whereas the hand signature system is based on global features and Multilayer Perceptron (MLP) architecture for Artificial Neural Network (ANN). The bimodal system is based on fusing the speech and hand signature systems at decision level s.n 2013-01-18 Monograph NonPeerReviewed application/pdf en http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf Gunawan, Teddy Surya (2013) Bimodal person identification system based on speech and signature recognition's. Research Report. s.n, Kuala Lumpur. (Unpublished) EDW A12-497-1288 |
| spellingShingle | QA75 Electronic computers. Computer science Gunawan, Teddy Surya Bimodal person identification system based on speech and signature recognition's |
| title | Bimodal person identification system based on speech and signature recognition's
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| title_full | Bimodal person identification system based on speech and signature recognition's
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| title_fullStr | Bimodal person identification system based on speech and signature recognition's
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| title_full_unstemmed | Bimodal person identification system based on speech and signature recognition's
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| title_short | Bimodal person identification system based on speech and signature recognition's
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| title_sort | bimodal person identification system based on speech and signature recognition's |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf |