Knowledge Commons of Institute of Automation,CAS
Evaluation of Geometric Context Models for Handwritten Numeral String Recognition | |
Wu YC(吴一超); Yin F(殷飞); Liu CL(刘成林) | |
2014 | |
会议名称 | 2014 14th International Conference on Frontiers in Handwriting Recognition |
会议日期 | 2014-9-1 |
会议地点 | 希腊克里特岛 |
摘要 | Character string recognition based on oversegmentation by integrating character classifier and context models has been demonstrated successful. Geometric context models characterizing the candidate character likeliness and betweencharacter relationship have shown benefits in several scripts but have not been evaluated in numeral string recognition. Compared with Chinese scripts mixed with alphanumeric and punctuation marks, numeral strings are less variant in character outline and between-character relationship. This study, via evaluating geometric context models used in Chinese handwritten text recognition, shows that geometric context is beneficial to handwritten numeral string recognition as well. Particularly, we propose an improved binary geometric model that combines single-character and between-character features such that the model functions like a bi-character classifier. Combining this binary geometric model with unary geometric model and character classifier, we obtain significant improvement of numeral string recognition performance on the NIST SD-19. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19801 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
作者单位 | Institute of Institute of Automation,Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wu YC,Yin F,Liu CL. Evaluation of Geometric Context Models for Handwritten Numeral String Recognition[C],2014. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
06981019.pdf(332KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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