{"title":"在单词识别中结合上下文字符几何","authors":"H. Xue, V. Govindaraju","doi":"10.1109/IWFHR.2002.1030897","DOIUrl":null,"url":null,"abstract":"Contextual character geometry is the geometric information available only when a character presents in the context of a word. Such information includes the character's location and relative size in the entire word image, forming a bounding box of the character. The differences between the geometry of an image segment and the expected geometry of a candidate character are considered as additional features to refine the recognition of individual characters. A typical word recognizer based on over-segmentation and segment-combination is used to illustrate the use of these new features and experimental results have shown significant improvement of recognition accuracy, especially on large lexicons.","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Incorporating contextual character geometry in word recognition\",\"authors\":\"H. Xue, V. Govindaraju\",\"doi\":\"10.1109/IWFHR.2002.1030897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contextual character geometry is the geometric information available only when a character presents in the context of a word. Such information includes the character's location and relative size in the entire word image, forming a bounding box of the character. The differences between the geometry of an image segment and the expected geometry of a candidate character are considered as additional features to refine the recognition of individual characters. A typical word recognizer based on over-segmentation and segment-combination is used to illustrate the use of these new features and experimental results have shown significant improvement of recognition accuracy, especially on large lexicons.\",\"PeriodicalId\":114017,\"journal\":{\"name\":\"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWFHR.2002.1030897\",\"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 Eighth International Workshop on Frontiers in Handwriting Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWFHR.2002.1030897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incorporating contextual character geometry in word recognition
Contextual character geometry is the geometric information available only when a character presents in the context of a word. Such information includes the character's location and relative size in the entire word image, forming a bounding box of the character. The differences between the geometry of an image segment and the expected geometry of a candidate character are considered as additional features to refine the recognition of individual characters. A typical word recognizer based on over-segmentation and segment-combination is used to illustrate the use of these new features and experimental results have shown significant improvement of recognition accuracy, especially on large lexicons.