{"title":"基于灵活模板匹配的手印汉字字符识别","authors":"J. Tsukumo","doi":"10.1109/ICPR.1992.201823","DOIUrl":null,"url":null,"abstract":"Describes a handprinted Kanji character recognition by hierarchical classification based on flexible template matching. In the proposed method, two kinds of flexible template matching are realized by nonlinear shape normalization and by nonlinear pattern matching, based on dynamic programming. The former has the efficiency for local shape restoration and the latter has the efficiency for local shape restoration in handprinted Kanji character variations.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Handprinted Kanji character recognition based on flexible template matching\",\"authors\":\"J. Tsukumo\",\"doi\":\"10.1109/ICPR.1992.201823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Describes a handprinted Kanji character recognition by hierarchical classification based on flexible template matching. In the proposed method, two kinds of flexible template matching are realized by nonlinear shape normalization and by nonlinear pattern matching, based on dynamic programming. The former has the efficiency for local shape restoration and the latter has the efficiency for local shape restoration in handprinted Kanji character variations.<<ETX>>\",\"PeriodicalId\":34917,\"journal\":{\"name\":\"模式识别与人工智能\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"模式识别与人工智能\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Handprinted Kanji character recognition based on flexible template matching
Describes a handprinted Kanji character recognition by hierarchical classification based on flexible template matching. In the proposed method, two kinds of flexible template matching are realized by nonlinear shape normalization and by nonlinear pattern matching, based on dynamic programming. The former has the efficiency for local shape restoration and the latter has the efficiency for local shape restoration in handprinted Kanji character variations.<>