The Application of Optical Character Recognition for Mobile Device via Artificial Neural Networks with Negative Correlation Learning Algorithm

Kir B., Oz C., Gulbag A.

10th International Conference on Electronics, Computer and Computation (ICECCO), Ankara, Türkiye, 7 - 09 Kasım 2013, ss.220-223 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icecco.2013.6718268
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.220-223
  • Kocaeli Üniversitesi Adresli: Evet

Özet

In this study, optical character recognition (OCR) was carried out by using artificial neural network. Negative correlation learning (NCL) method was used to teach artificial neural network. Negative correlation learning, which trains artificial neural networks in groups instead of teaching them individually, is a new technique. By teaching different individual networks as only one network, different parts can be taught at the same time and with this feature teaching will be better and teaching time will be shorter. In this study, image taken with mobile phone were partitioned by processing optical character recognition techniques and their properties were determined. After these letters' images was classified and converted into text by using artificial neural network ensemble which were taught by negative correlation learning respectively. This system work successfully.