KaydedilenlerDerginizi ekleyin

Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2007 / Cilt: 7 - Sayı: 1

Handwritten character recognition system using artificial neural networks

Pelin GORGEL
Oguzhan OZTAS
Sayfa
309–313
Yayın Tarihi
2022-10-18
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Input datas, network parametres andtraining period effect the result.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this paper, a Handwritten Character Recognition system is designed using Multilayer FeedforwardArticial Neural Networks.
📊
Temel Bulgular & Veri:Recognition percentage of the system is higher than acceptable level.
💡
Sonuç & Katkı:Input datas, network parametres andtraining period effect the result.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this paper, a Handwritten Character Recognition system is designed using Multilayer FeedforwardArticial Neural Networks. Backpropagation Learning algorithm is prefered for training of neural network. Training set occures of various Latin characters collected from different people. The characters are presented directly to the network and correctly sized in pre-processing. Recognition percentage of the system is higher than acceptable level. Input datas, network parametres andtraining period effect the result.

🔖

Bu Makaleye Atıf Yap

GORGEL, P., OZTAS, O. (2022). Handwritten character recognition system using artificial neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 7 - Sayı: 1, 309–313. https://ajindex.com/articles/543780

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (4)

  1. Araokar, S. “Visual character recognition using artificial neural networks”. MGM’s College of Engineering and Technology, 2005
  2. Erdem, O. A., Uzun, E. “Turkish times new roman, arial, and handwriting characters recognition by neural network”. J. Fac. Eng. Arch. Gazi Univ., Vol 20, No 1, 13-19, 2005 [3] Mani, N., Voumard, P. “An optical character recognition using Artificial Neural Network”. IEEE,1996
  3. Smagt, P. “A comparative study of neural network algorithms applied to optical character recognition”. ACM/ IEEE,2000
  4. Salameh, W. A., Otair M. A. “Online handwritten character recognition using an optical backpropagation neural network”. Issues in Informing Science and Information Technology, 787-795. 2005. [6] http://www.rgu.ac.uk