HOVER系统用于离线手写短语的快速整体验证

Proceedings of the Fourth International Conference on Document Analysis and Recognition Pub Date : 1997-08-18 DOI:10.1109/ICDAR.1997.620633

S. Madhvanath, Evelyn Kleinberg, V. Govindaraju, S. Srihari

{"title":"HOVER系统用于离线手写短语的快速整体验证","authors":"S. Madhvanath, Evelyn Kleinberg, V. Govindaraju, S. Srihari","doi":"10.1109/ICDAR.1997.620633","DOIUrl":null,"url":null,"abstract":"The authors describe ongoing research on a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live US mail against recognition results of analytical classifiers. The system rejects errors with 98% accuracy at the 30% accept level, while consuming approximately 20 msec per image on the average on a 150 MHz SPARC 10.","PeriodicalId":435320,"journal":{"name":"Proceedings of the Fourth International Conference on Document Analysis and Recognition","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"The HOVER system for rapid holistic verification of off-line handwritten phrases\",\"authors\":\"S. Madhvanath, Evelyn Kleinberg, V. Govindaraju, S. Srihari\",\"doi\":\"10.1109/ICDAR.1997.620633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors describe ongoing research on a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live US mail against recognition results of analytical classifiers. The system rejects errors with 98% accuracy at the 30% accept level, while consuming approximately 20 msec per image on the average on a 150 MHz SPARC 10.\",\"PeriodicalId\":435320,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Document Analysis and Recognition\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"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.1997.620633\",\"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.1997.620633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

作者描述了正在进行的一项系统研究，该系统使用手写短语图像的感知整体特征来快速验证无约束离线手写短语。该系统用于根据分析分类器的识别结果，验证从美国实时邮件中自动提取的手写街道名称。系统在30%接受水平下以98%的准确率拒绝错误，同时在150 MHz SPARC 10上平均每张图像消耗约20毫秒。

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

The HOVER system for rapid holistic verification of off-line handwritten phrases

The authors describe ongoing research on a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live US mail against recognition results of analytical classifiers. The system rejects errors with 98% accuracy at the 30% accept level, while consuming approximately 20 msec per image on the average on a 150 MHz SPARC 10.

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