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Title: Technique based feature extraction character recognition using artificial neural network for Sinhala characters
Authors: Naleer, HMM
Jayamaha, J.M Harshana Madusanka
Keywords: Artificial Neural Network
Image Processing
Feature Extraction
Handwritten recognition
Issue Date: 29-Dec-2016
Publisher: Faculty of Applied Sciences, South Eastern University of Sri lanka
Citation: Proceedings of Fifth Annual Science Research Sessions 2016 on "Enriching the Novel Scientific Research for the Development of the Nation" pp.114-122
Abstract: This paper describes a basic approach, taken for Sinhala handwritten character recognition. The research was performed with the idea of identifying most efficient, effective and accurate method, based on character geometry based feature extraction technique for Sinhala handwritten character recognition. Data acquisition, digitalization, preprocessing, feature extraction was done using the image processing techniques. The classification was measured using an ANN based classifier on a common testing and training data sets. The classification performance was measured for 34 Sinhala characters using this research. Finally, recognized Sinhala character will be printed on a text document.
ISBN: 9789556271027
Appears in Collections:ASRS - FAS 2016

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