Assamese character recognition with artificial neural networks Yapay sinir aǧlari ile assamese karakter tanima

AYDIN M., Çelik E.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Türkiye, 24 - 26 Nisan 2013, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2013.6531488
  • Basıldığı Şehir: Haspolat
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Artificial neural network, Assamese character, Character recognition
  • Samsun Üniversitesi Adresli: Hayır

Özet

Nowadays characters that written on tablets with electronic pens are recognized and classified by computers so these are most used applications. In this study (x,y) coordinate values of hand-written Assamese characters are saved by this program. Features can be found by getting maximum, minimum, average, variant, Standard deviation and range values after size of these values are decreased by Principle Component Analysis. These features classified as Feed Forward Backpropagation Artificial Neural Network and Radial Basis Artificial Neural Network.Test results are compared after classification. In this study, online Assamese hand written tool and database of University of California Computer and Information Science department is used. Test results show that Feed Forward Backpropagation Artificial Neural Network %96 successful although Radial Basis Artificial Neural Network %82 successful. © 2013 IEEE.