Comparison of ANN and SVM to Identify Children Handwriting Difficulties

Anith Adibah Hasseim,Puspa Inayat Khalid,Rubita Sudirman,Narges Tabatabaey-Mashadi

doi:10.4236/eng.2013.55b001

Abstract

This paper compares two classification methods to determine pupils who have difficulties in writing. Classification experiments are made with neural network and support vector machine method separately. The samples are divided into two groups of writers, below average printers (test group) and above average printers (control group) are applied. The aim of this paper is to demonstrate that neural network and support vector machine can be successfully used in classifying pupils with or without handwriting difficulties. Our results showed that support vector machine classifier yield slightly better percentage than neural network classifier and it has a much stable result.

Highlights

Handwriting is the primary form of written expression for young elementary school students
The aim of this paper is to demonstrate that neural network and support vector machine can be successfully used in classifying pupils with or without handwriting difficulties
Our results showed that support vector machine classifier yield slightly better percentage than neural network classifier and it has a much stable result

Summary

Introduction

Handwriting is the primary form of written expression for young elementary school students. Handwriting has long been an effective means to record information, transmit message and project feelings [1] for communication among people. There is evidence to indicate that at least 10% - 30% of children who have difficulty with handwriting and need to be resolved with the right intervention [2]. Most of the studies that involve in handwriting movement only focused on children with known psychological or physical problem. Various softwares have been presented for handwriting recognition and movement analysis, but softwares directly related to child handwriting analysis with the prospective of screening children in general, and addressing difficulties are rare and the research is in its early stage

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