K. Ubul, Mavjuda Zunun, A. Aysa, Nurbiya Yadikar, Umut Yunus
{"title":"创建维吾尔语离线手写数据库","authors":"K. Ubul, Mavjuda Zunun, A. Aysa, Nurbiya Yadikar, Umut Yunus","doi":"10.1109/WOSSPA.2013.6602378","DOIUrl":null,"url":null,"abstract":"It plays essential role in estimating and comparing research results achieved by different groups of researcher to create standard databases. Many handwritten databases reported are mostly based on Latin, Chinese, Arabic, and other languages, but none of them related with Uyghur handwriting. In this paper, a Uyghur handwritten text database written by multiple writers is introduced. It can be used for research in the recognition of Uyghur handwriting (word or text), word segmentation, document image processing (analysis or retrieval), and writer identification. This database contains 2016 handwritten document images written by 813 native writers of Uyghur. Each handwriting document is scanned, stored with. bmp file, and the noise in the handwriting image is removed. So far, this is the first Uyghur offline handwriting database that is available freely for worldwide researchers.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Creation of Uyghur offline handwritten database\",\"authors\":\"K. Ubul, Mavjuda Zunun, A. Aysa, Nurbiya Yadikar, Umut Yunus\",\"doi\":\"10.1109/WOSSPA.2013.6602378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It plays essential role in estimating and comparing research results achieved by different groups of researcher to create standard databases. Many handwritten databases reported are mostly based on Latin, Chinese, Arabic, and other languages, but none of them related with Uyghur handwriting. In this paper, a Uyghur handwritten text database written by multiple writers is introduced. It can be used for research in the recognition of Uyghur handwriting (word or text), word segmentation, document image processing (analysis or retrieval), and writer identification. This database contains 2016 handwritten document images written by 813 native writers of Uyghur. Each handwriting document is scanned, stored with. bmp file, and the noise in the handwriting image is removed. So far, this is the first Uyghur offline handwriting database that is available freely for worldwide researchers.\",\"PeriodicalId\":417940,\"journal\":{\"name\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2013.6602378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It plays essential role in estimating and comparing research results achieved by different groups of researcher to create standard databases. Many handwritten databases reported are mostly based on Latin, Chinese, Arabic, and other languages, but none of them related with Uyghur handwriting. In this paper, a Uyghur handwritten text database written by multiple writers is introduced. It can be used for research in the recognition of Uyghur handwriting (word or text), word segmentation, document image processing (analysis or retrieval), and writer identification. This database contains 2016 handwritten document images written by 813 native writers of Uyghur. Each handwriting document is scanned, stored with. bmp file, and the noise in the handwriting image is removed. So far, this is the first Uyghur offline handwriting database that is available freely for worldwide researchers.