A System for Offline Recognition of Handwritten Characters in Malayalam Script

Dyuthi/Manakin Repository

A System for Offline Recognition of Handwritten Characters in Malayalam Script

Show full item record

Title: A System for Offline Recognition of Handwritten Characters in Malayalam Script
Author: Kannan, Balakrishnan; Jomy, John; Pramod, K V
Abstract: In this paper, we propose a handwritten character recognition system for Malayalam language. The feature extraction phase consists of gradient and curvature calculation and dimensionality reduction using Principal Component Analysis. Directional information from the arc tangent of gradient is used as gradient feature. Strength of gradient in curvature direction is used as the curvature feature. The proposed system uses a combination of gradient and curvature feature in reduced dimension as the feature vector. For classification, discriminative power of Support Vector Machine (SVM) is evaluated. The results reveal that SVM with Radial Basis Function (RBF) kernel yield the best performance with 96.28% and 97.96% of accuracy in two different datasets. This is the highest accuracy ever reported on these datasets
Description: I.J. Image, Graphics and Signal Processing, 2013, 4, 53-59
URI: http://dyuthi.cusat.ac.in/purl/4204
Date: 2013-04


Files in this item

Files Size Format View Description
A System for Of ... rs in Malayalam Script.pdf 522.7Kb PDF View/Open pdf

This item appears in the following Collection(s)

Show full item record

Search Dyuthi


Advanced Search

Browse

My Account