• DocumentCode
    173887
  • Title

    Analysis on handwritten Bangla character recognition using ANN

  • Author

    Rahaman, Arifur ; Hasan, Md Maodudul ; Shuvo, Md Faisal ; Ovi, Md Abu Saleh ; Rahman, Md Mamunur

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2014
  • fDate
    23-24 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process in which a binary image the ratio of the dispersion of black from the top of the segment and total number of column or row pixels is measured on that particular segment as well as for each segment and then from this data a feature matrix of M×1 dimension is created for each character. When features from all the characters are extracted then some of the data is used to train the feed forward neural network and after that some characters are used for testing. In our proposed method 94.3% recognition accuracy is obtained when tested on some handwritten Bangla characters.
  • Keywords
    feature extraction; feedforward neural nets; handwritten character recognition; image segmentation; learning (artificial intelligence); matrix algebra; natural language processing; optical character recognition; ANN; artificial neural network; column basis segmentation process; dispersion ratio; feature extraction process; feature matrix; feedforward neural network training; handwritten Bangla character recognition; row basis segmentation process; Accuracy; Artificial neural networks; Character recognition; Data mining; Feature extraction; Handwriting recognition; Image segmentation; Handwritten Bangla character; artificial neural network; character segmentation; recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-5179-6
  • Type

    conf

  • DOI
    10.1109/ICIEV.2014.6850690
  • Filename
    6850690