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Automated Handwritten Character Recognition using Deep Learning.

Author(s)
M. HUMAYUN Department of Software Engineering, Bahria University Karachi Campus, Karachi, Pakistan
R. SIDDIQUI Department of Software Engineering, Bahria University Karachi Campus, Karachi, Pakistan
S. S. ZIA Department of Software Engineering, Sir Syed University of Engg. & Technology, Karachi, Pakistan
M. NASEEM Department of Software Engineering, Sir Syed University of Engg. & Technology, Karachi, Pakistan
I. MALA Department of Electrical Engineering, Usman Institute of Technology, Karachi, Pakistan
A. NAZIM Department of Software Engineering, Bahria University Karachi Campus, Karachi, Pakistan
Abstract
Computer recognize the human written character, words documents comes under the definition of Handwriting Recognition. It's been and is still an area under research. It has gained prominence due to numerous applications. Like office automation, historic documents preservation, help for the blind etc. In this paper we provide in detail the existing study in Offline Handwritten C haracters Recognition. The techniques used in this area of research. We provide a meticulous literature review on different techniques used in Offline Handwritten Character Recognition (HWCR) in different languages.
Publication Details
Page(s) 477-482
DOI DOI not available
Published Journal: Sindh University Research Journal, Volume: 51, Issue: 3, Year: 2019

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Keywords
Online RNN, BLSTM, HWCR
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