Abstract
In this paper, a preprocessing technique involving removal of duplicate points, normalization, interpolation of missing points, sharp point detection, removing hook and smoothing is applied for recognition of online handwritten Gurmukhi numerals. Above stages are performed on the data collected from different persons. It is observed that our preprocessing technique improves feature extraction rate by increasing the accuracy in recognition of some features like hole and junction.
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Bawa, R.K., Rani, R. (2011). A Preprocessing Technique for Recognition of Online Handwritten Gurmukhi Numerals. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_37
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DOI: https://doi.org/10.1007/978-3-642-22577-2_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22576-5
Online ISBN: 978-3-642-22577-2
eBook Packages: Computer ScienceComputer Science (R0)