{"title":"Automatic handwriting recognition and writer matching on anthrax-related handwritten mail","authors":"S. Srihari, Sangjik Lee","doi":"10.1109/IWFHR.2002.1030923","DOIUrl":null,"url":null,"abstract":"A handwriting recognition technique and a handwriting identification technique were combined and applied on anthrax-related handwritten mail. The HWAI (handwritten address interpretation) system interprets the address on the anthrax-related letters. The HWAI process can be modified to provide specific alphabet images which can then be used for writer identification. Micro-level feature values from segmented characters were extracted and an identification test was conducted. Preliminary results based on automatic handwriting recognition and identification are shown.","PeriodicalId":114017,"journal":{"name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","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.2002.1030923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
A handwriting recognition technique and a handwriting identification technique were combined and applied on anthrax-related handwritten mail. The HWAI (handwritten address interpretation) system interprets the address on the anthrax-related letters. The HWAI process can be modified to provide specific alphabet images which can then be used for writer identification. Micro-level feature values from segmented characters were extracted and an identification test was conducted. Preliminary results based on automatic handwriting recognition and identification are shown.