Corpus ID: 16168143

A Survey on Optical Character Recognition Techniques

  title={A Survey on Optical Character Recognition Techniques},
  author={Sarika Pansare and Dhanshree Joshi},
  • Sarika Pansare, Dhanshree Joshi
  • Published 2014
  • Computer Science
  • This paper presents a review on Optical Character Recognition Techniques. Optical Character recognition (OCR) is a technology that allows machines to automatically recognize the characters through an optical mechanism. OCR can be described as Mechanical or electronic conversion of scanned images where images can be handwritten, typewritten or printed text. It converts the images into machine-encoded text that can be used in machine translation, text-to-speech and text mining. Various techniques… CONTINUE READING

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    Publications referenced by this paper.

    Ghanwat,”Optical Character Recognition Implementation Using Pattern Matching “(IJCSIT

    • Faisal Mohammad, Jyoti Anarase, Milan Shingote, Pratik
    • International Journal of Computer Science and Information Technologies,
    • 2014

    Alasadi “Simplifying Handwritten Characters Recognition Using a Particle Swarm Optimization Approach

    • Majida Ali Abed, Hamid Ali Abed
    • European Academic Research,
    • 2013

    Recognition of printed Devanagari text using BLSTM Neural Network

    Retrieval of Rashi Semi-cursive Handwriting via Fuzzy Logic

    • Eran Gur, Zeev Zelavsky
    • Computer Science
    • 2012 International Conference on Frontiers in Handwriting Recognition
    • 2012