vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff3b572b00000068cd050001000700 This paper provides the first attempt for the recognition of Nandinagari handwritten word in a handwritten Palm Leaf manuscript. We take a set of very aged Palm Leaf and take a representative sample containing over 1000 characters and perform a set of preprocessing steps including background subtraction, de noising using Gaussian filter, contrast enhancement using histogram equalization and binarization using adaptive thresholding technique to obtain high quality readable manuscript. The words are subsequently extracted using annotation method to get a set of 100 meaningful Handwritten Nandinagari words of different sizes. A dictionary of these vocabulary words is formed and stored. Effective corner based feature extraction technique is applied to these images and the corresponding scale and rotation invariant features are extracted and stored in the database. The query word image is then compared with the dictionary words and the matched similar word images are retrieved.
Prathima Guruprasad1, Guruprasad2
Dayananda Sagar University, India1, University of Mysore, India2
Invariant Feature extraction, Scale Invariant Feature Transform, Background Subtraction, Denoising, Contrast Enhancement, Auto Thresholding
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 10 , Issue: 2 , Pages: 2103-2108 )
Date of Publication :
November 2019
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115
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