Real time recognition of identification cards of Turkish republic with wavelet transforms Dalgacik dönüşümleriyle gerçek zamanli türkiye cumhuriyeti kimlik karti tanima

ÇETİNER H., CETİŞLİ B.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Turkey, 24 - 26 April 2013, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2013.6531438
  • City: Haspolat
  • Country: Turkey
  • Keywords: Adaptive neural networks, Digit recognition, Optic character, Wavelets transform
  • Isparta University of Applied Sciences Affiliated: Yes

Abstract

To achieve to personal information as fast and correct a form is an important problem in official or private institutions and organizations. To disruption of the works are necessary that should be entered as quickly and without error of all numbers of card in identity recognition. In this proposed study, an optical character recognition system which recognizes as real time Republic of Turkey Identification Card Number is developed. This system consists of five stages. These stages are preprocessing, segmentation, feature extraction, classification and correction. The features of digits are created with wavelet transformations of different types and degrees from segmented digit images. Republic of Turkey Identification Card Numbers could recognize by great a success rate as real time with Artificial Neural Networks (ANN) are trained with these features. © 2013 IEEE.