a component-based on-line handwritten tibetan character recognition method using conditional random field
文献类型：会议论文
| 作者 | Ma Long-Long ; Wu Jian |
| 出版日期 | 2012 |
| 会议名称 | 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012 |
| 会议日期 | September 18, 2012 - September 20, 2012 |
| 会议地点 | Bari, Italy |
| 关键词 | Random processes |
| 页码 | 704-709 |
| 中文摘要 | This paper presents a new component-based recognition method using conditional random field (CRF) for on-line handwritten Tibetan characters. The character pattern is over-segmented into a sequence of sub-structure blocks. Integrated segmentation and recognition method based on the CRF model is used to determine the component segmentation points from these block sequences. The CRF model combines component shape likelihood with geometrical likelihood. The parameters are learned using an energy minimization method. We build a componentbased spelling rule model to ensure the correct component appearing at a specific structural position. A character-component generation model is presented to reduce component recognition error rate and accelerate the recognition process. Experimental results on MRG-OHTC database show that the proposed method gives promising performance comparing with the holistic method and the component-based conventional path evaluation method. © 2012 IEEE. |
| 英文摘要 | This paper presents a new component-based recognition method using conditional random field (CRF) for on-line handwritten Tibetan characters. The character pattern is over-segmented into a sequence of sub-structure blocks. Integrated segmentation and recognition method based on the CRF model is used to determine the component segmentation points from these block sequences. The CRF model combines component shape likelihood with geometrical likelihood. The parameters are learned using an energy minimization method. We build a componentbased spelling rule model to ensure the correct component appearing at a specific structural position. A character-component generation model is presented to reduce component recognition error rate and accelerate the recognition process. Experimental results on MRG-OHTC database show that the proposed method gives promising performance comparing with the holistic method and the component-based conventional path evaluation method. © 2012 IEEE. |
| 收录类别 | EI |
| 会议主办者 | Presidenza del Consiglio dei Ministri; Governo Italiano; Ministero dello Sviluppo Economico; IAPR; Rete Puglia |
| 会议录 | Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
 |
| 语种 | 英语 |
| ISSN号 | 1550-5235 |
| ISBN号 | 9780769547749 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15911]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Ma Long-Long,Wu Jian. a component-based on-line handwritten tibetan character recognition method using conditional random field[C]. 见:13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012. Bari, Italy. September 18, 2012 - September 20, 2012. |
入库方式： OAI收割
来源：软件研究所
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