A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of...
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| Format: | Article |
| Language: | en |
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CSC Journals, Kuala Lumpur, Malaysia
2008
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| Online Access: | http://eprints.utm.my/9951/1/AmjadRehmanKhan2008_AsimpleSegmentationApproachforUnconstrainedCursiveS.pdf http://eprints.utm.my/9951/ http://www.cscjournals.org/csc/manuscript/Journals/IJIP/Volume2/Issue3/IJIP-13.pdf |
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| _version_ | 1845472277912616960 |
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| author | Khan, Amjad Rehman Mohamad, Dzulkifli |
| author_facet | Khan, Amjad Rehman Mohamad, Dzulkifli |
| author_sort | Khan, Amjad Rehman |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of the algorithm an Artificial Neural Network is trained with significant amount of valid segmentation points for cursive words manually. Trained neural network extracts incorrect segmented points efficiently with high speed. For fair comparison benchmark database IAM is used. The experimental results are encouraging |
| format | Article |
| id | my.utm.eprints-9951 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2008 |
| publisher | CSC Journals, Kuala Lumpur, Malaysia |
| record_format | eprints |
| spelling | my.utm.eprints-99512011-05-18T07:37:07Z http://eprints.utm.my/9951/ A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network Khan, Amjad Rehman Mohamad, Dzulkifli QA76 Computer software This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of the algorithm an Artificial Neural Network is trained with significant amount of valid segmentation points for cursive words manually. Trained neural network extracts incorrect segmented points efficiently with high speed. For fair comparison benchmark database IAM is used. The experimental results are encouraging CSC Journals, Kuala Lumpur, Malaysia 2008 Article PeerReviewed application/pdf en http://eprints.utm.my/9951/1/AmjadRehmanKhan2008_AsimpleSegmentationApproachforUnconstrainedCursiveS.pdf Khan, Amjad Rehman and Mohamad, Dzulkifli (2008) A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network. International Journal of Computer Science and Security, 2 (3). pp. 29-35. ISSN 1985-1553 (online) http://www.cscjournals.org/csc/manuscript/Journals/IJIP/Volume2/Issue3/IJIP-13.pdf |
| spellingShingle | QA76 Computer software Khan, Amjad Rehman Mohamad, Dzulkifli A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network |
| title | A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
|
| title_full | A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
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| title_fullStr | A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
|
| title_full_unstemmed | A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
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| title_short | A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
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| title_sort | simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network |
| topic | QA76 Computer software |
| url | http://eprints.utm.my/9951/1/AmjadRehmanKhan2008_AsimpleSegmentationApproachforUnconstrainedCursiveS.pdf http://eprints.utm.my/9951/ http://www.cscjournals.org/csc/manuscript/Journals/IJIP/Volume2/Issue3/IJIP-13.pdf |
| url_provider | http://eprints.utm.my/ |