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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015
Handwritten Text Recognition Using Information Energy And Neural Network
Kanchan Keisham | Sunanda Dixit
Abstract: In handwritten character recognition one of the most challenging task is segmentation. This is mainly due to different challenges like skewness of textlines, overlapping characters, connected components etc. This paper proposes a character recognition method of handwritten English documents. The textlines are segmented based on information energy that is calculated for every pixel in the scanned document and the characters are recognized using artificial neural network (ANN).
Keywords: line segmentation, word segmentation, character segmentation, information energy, neural networks, recognition etc
Edition: Volume 4 Issue 6, June 2015,
Pages: 2860 - 2862
How to Cite this Article?
Kanchan Keisham, Sunanda Dixit, "Handwritten Text Recognition Using Information Energy And Neural Network", International Journal of Science and Research (IJSR), Volume 4 Issue 6, June 2015, pp. 2860-2862, https://www.ijsr.net/get_abstract.php?paper_id=SUB155958
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