Handwritten character recognition based on SVMs for a multiplication table game

Author

Dongjin Lee ; Hosub Yoon ; Myung-Ae Chung

Author_Institution

Univ. of Sci. & Technol. (UST), Daejeon, South Korea

fYear

2012

fDate

26-28 Nov. 2012

Firstpage

103

Lastpage

105

Abstract

In this paper, we present a multiplication table game that automatically detects and recognizes handwritten digits written on the white board. The result of the multiplication of two numbers would not only be displayed on the monitor, but it would be also spoken by the Text To Speech (TTS). The proposed application is divided into three stages: 1) detect a white board; 2) segment candidate regions of handwritten characters on the white board; 3) recognition using SVMs. In the experiment, the MNIST database of handwritten digits is used to evaluate the performance of the proposed application and very promising results are achieved.

Keywords

handwriting recognition; speech synthesis; support vector machines; visual databases; MNIST database; SVM; TTS; candidate region segmentation; handwritten character recognition; handwritten digit recognition; multiplication table game; text to speech; white board; white board detection; Character recognition; Databases; Feature extraction; Games; Handwriting recognition; Support vector machines; Handwritten Character Recognition; MNIST database; Multiplication table; Support Vector Machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on

Conference_Location

Daejeon

Print_ISBN

978-1-4673-3111-1

Electronic_ISBN

978-1-4673-3110-4

Type

conf

DOI

10.1109/URAI.2012.6462943

Filename

6462943