Abstract
Handwritten to Digital Text Conversion Tool is designed using digital image processing technique to make data conversion (hand written scanned paper document to digital document) an easy and cost effective method using MATLAB. The input handwritten text is scanned and its Digital image form is obtained. The image is handled with the help of Enhancement techniques, segmentation, image recognition and neural network with an ultimatum of achieving higher efficiency. The Recognition system is designed along with the multilayer feed forward neural network, so that higher level of efficiency is obtained for the cursive handwriting recognition. The flexibility of this design allows it to extend to other languages easily.
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Sabeenian, R.S., Vidhya, M. (2010). Hand written Text to Digital Text Conversion using Radon Transform and Back Propagation Network (RTBPN). In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15766-0_82
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DOI: https://doi.org/10.1007/978-3-642-15766-0_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15765-3
Online ISBN: 978-3-642-15766-0
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