• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Multifont Ottoman character recognition

      Thumbnail
      View / Download
      395.7 Kb
      Author
      Öztürk, Ali
      Güneş, S.
      Özbay, Y.
      Date
      2000
      Source Title
      ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445)
      Publisher
      IEEE
      Pages
      945 - 949
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      142
      views
      120
      downloads
      Abstract
      Ottoman characters from three different fonts are used character recognition problem, broadly speaking, is transferring a page that contain symbols to the computer and matching these symbols with previously known or recognized symbols after extraction the features of these symbols via appropriate preprocessing methods. Because of silent features of the characters, implementing an Ottoman character recognition system is a difficult work. Different researchers have done lots of works for years to develop systems that would recognize Latin characters. Although almost one million people use Ottoman characters, great deal of whom has different native languages, the number of studies on this field is insufficient. In this study 28 different machine-printed to train the Artificial Neural Network and a %95 classification accuracy for the characters in these fonts and a %70 classification accuracy for a different font has been found.
      Keywords
      Artificial neural network
      Character recognition system
      Classification accuracy
      Native language
      Pre-processing method
      Character recognition
      Feature extraction
      Neural networks
      Permalink
      http://hdl.handle.net/11693/27639
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICECS.2000.913032
      Collections
      • Department of Computer Engineering 1371
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy