Isolated character recognition based on sub-character primitive features
In this chapter character recognition is tried with another approach based on the sub-character primitive features. Novel features have been proposed and experimented. In this approach, on-line data is converted into series of x, y coordinates first. Some preprocessing is applied to the data and the...
| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
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Penerbit UTM, Universiti Teknologi Malaysia
2008
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| Online Access: | http://eprints.utm.my/22912/1/bookchapter_fsksm062.pdf |
| _version_ | 1796855973110874112 |
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| author | Zafar, Muhammad Faisal Mohamad, Dzulkifi |
| author_facet | Zafar, Muhammad Faisal Mohamad, Dzulkifi |
| author_sort | Zafar, Muhammad Faisal |
| collection | ePrints |
| description | In this chapter character recognition is tried with another approach based on the sub-character primitive features. Novel features have been proposed and experimented. In this approach, on-line data is converted into series of x, y coordinates first. Some preprocessing is applied to the data and then filtered data is encoded into direction vector. A proposed smoothing algorithm smoothes the encoded sequence of direction vectors before extracting the features. These features are then fed to the input of BPN and CPN for training and recognition purposes. An overview of the whole system is presented in Figure 1. The flow of data during training is shown by the dashed line arrows, while the data flow during recognition is shown by solid line arrows. In the following sections, the techniques and algorithms to be involved for each processing block are briefly introduced. |
| first_indexed | 2024-03-05T18:36:32Z |
| format | Book Section |
| id | utm.eprints-22912 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:36:32Z |
| publishDate | 2008 |
| publisher | Penerbit UTM, Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | utm.eprints-229122017-10-09T06:36:28Z http://eprints.utm.my/22912/ Isolated character recognition based on sub-character primitive features Zafar, Muhammad Faisal Mohamad, Dzulkifi QA75 Electronic computers. Computer science In this chapter character recognition is tried with another approach based on the sub-character primitive features. Novel features have been proposed and experimented. In this approach, on-line data is converted into series of x, y coordinates first. Some preprocessing is applied to the data and then filtered data is encoded into direction vector. A proposed smoothing algorithm smoothes the encoded sequence of direction vectors before extracting the features. These features are then fed to the input of BPN and CPN for training and recognition purposes. An overview of the whole system is presented in Figure 1. The flow of data during training is shown by the dashed line arrows, while the data flow during recognition is shown by solid line arrows. In the following sections, the techniques and algorithms to be involved for each processing block are briefly introduced. Penerbit UTM, Universiti Teknologi Malaysia 2008 Book Section PeerReviewed application/pdf en http://eprints.utm.my/22912/1/bookchapter_fsksm062.pdf Zafar, Muhammad Faisal and Mohamad, Dzulkifi (2008) Isolated character recognition based on sub-character primitive features. In: Advances in Image Processing and Pattern Recognition: Algorithms & Practice. Penerbit UTM, Universiti Teknologi Malaysia, Skudai, Johor, 37-78 . ISBN 978-983-52-0618-4 |
| spellingShingle | QA75 Electronic computers. Computer science Zafar, Muhammad Faisal Mohamad, Dzulkifi Isolated character recognition based on sub-character primitive features |
| title | Isolated character recognition based on sub-character primitive features |
| title_full | Isolated character recognition based on sub-character primitive features |
| title_fullStr | Isolated character recognition based on sub-character primitive features |
| title_full_unstemmed | Isolated character recognition based on sub-character primitive features |
| title_short | Isolated character recognition based on sub-character primitive features |
| title_sort | isolated character recognition based on sub character primitive features |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/22912/1/bookchapter_fsksm062.pdf |
| work_keys_str_mv | AT zafarmuhammadfaisal isolatedcharacterrecognitionbasedonsubcharacterprimitivefeatures AT mohamaddzulkifi isolatedcharacterrecognitionbasedonsubcharacterprimitivefeatures |