• DocumentCode
    736270
  • Title

    Handwritten character recognition using machine learning approach - a survey

  • Author

    Patel, Shivangkumar R ; Jha, Jasmine

  • Author_Institution
    L.J.I.E.T. PG Department, Ahmedabad, Gujarat - India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.
  • Keywords
    Character recognition; Feature extraction; Handwriting recognition; Hidden Markov models; Image segmentation; Neural networks; Support vector machines; ann; classification; feature extraction; handwritten character recognition; machine learning; svm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253978
  • Filename
    7253978