一个在线手写字符识别算法。再参数化角度变化

Proceedings of the Fourth International Conference on Document Analysis and Recognition Pub Date : 1997-08-18 DOI:10.1109/ICDAR.1997.620645

S. Masaki, M. Kobayashi, O. Miyamoto, Y. Nakagawa, T. Matsumoto

{"title":"一个在线手写字符识别算法。再参数化角度变化","authors":"S. Masaki, M. Kobayashi, O. Miyamoto, Y. Nakagawa, T. Matsumoto","doi":"10.1109/ICDAR.1997.620645","DOIUrl":null,"url":null,"abstract":"A new algorithm RAV (Reparameterized Angle Variations) is proposed which makes explicit use of trajectory information where the time evolution of the pen coordinates plays a crucial role. The algorithm is extremely robust against stroke connections (\"Tsuzukeji\") as well as shape distortions (\"Kuzushi-ji\"). Preliminary experiments are reported on tests against the Kuchibue.d-96-02 data base from Tokyo University of Agriculture and Technology.","PeriodicalId":435320,"journal":{"name":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"An on-line handwriting character recognition algorithm. RAV (reparameterized angle variations)\",\"authors\":\"S. Masaki, M. Kobayashi, O. Miyamoto, Y. Nakagawa, T. Matsumoto\",\"doi\":\"10.1109/ICDAR.1997.620645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new algorithm RAV (Reparameterized Angle Variations) is proposed which makes explicit use of trajectory information where the time evolution of the pen coordinates plays a crucial role. The algorithm is extremely robust against stroke connections (\\\"Tsuzukeji\\\") as well as shape distortions (\\\"Kuzushi-ji\\\"). Preliminary experiments are reported on tests against the Kuchibue.d-96-02 data base from Tokyo University of Agriculture and Technology.\",\"PeriodicalId\":435320,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.1997.620645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.1997.620645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 14

摘要

提出了一种明确利用轨迹信息的新算法RAV (Reparameterized Angle variation)，其中笔坐标的时间演化起着至关重要的作用。该算法对笔画连接(“Tsuzukeji”)和形状扭曲(“Kuzushi-ji”)具有极强的鲁棒性。报告了针对Kuchibue的初步试验。东京农业技术大学d-96-02数据库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An on-line handwriting character recognition algorithm. RAV (reparameterized angle variations)

A new algorithm RAV (Reparameterized Angle Variations) is proposed which makes explicit use of trajectory information where the time evolution of the pen coordinates plays a crucial role. The algorithm is extremely robust against stroke connections ("Tsuzukeji") as well as shape distortions ("Kuzushi-ji"). Preliminary experiments are reported on tests against the Kuchibue.d-96-02 data base from Tokyo University of Agriculture and Technology.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the Fourth International Conference on Document Analysis and Recognition

自引率

0.00%

发文量