{"title":"Handwriting identification: a direction review","authors":"Khaled Mohammed bin Abdl, S. Z. M. Hashim","doi":"10.1109/ICSIPA.2009.5478698","DOIUrl":null,"url":null,"abstract":"Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document. Asserting authorship identity based on handwritten text requires three steps: Data acquisition and preprocessing, Feature extraction and Classification. The main issue in handwriting identification is how to get the features that reflect the varieties of handwriting. It has been shown in literature that there are a significant number of feature extraction techniques developed and employed for handwriting identification; however, the importance of a specific feature in handwriting identification has not been entirely investigated.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document. Asserting authorship identity based on handwritten text requires three steps: Data acquisition and preprocessing, Feature extraction and Classification. The main issue in handwriting identification is how to get the features that reflect the varieties of handwriting. It has been shown in literature that there are a significant number of feature extraction techniques developed and employed for handwriting identification; however, the importance of a specific feature in handwriting identification has not been entirely investigated.