Handwritten Text Recognition Using Information Energy And Neural Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 128 | Views: 385

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015 | Popularity: 6.4 / 10


     

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



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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/getabstract.php?paperid=SUB155958, DOI: https://www.doi.org/10.21275/SUB155958

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