Hand-written digit recognition using Fourier descriptors and contour information

Author

Jeong, Cha-Sup ; Jeong, Dong-Seok

Author_Institution

Dept. of Electron. Eng., Inha Univ., Inchon, South Korea

Volume

2

fYear

1999

fDate

36495

Firstpage

1283

Abstract

We propose a method for the recognition of handwritten digits. This recognition method is based on contour information and Fourier descriptors. The proposed method is divided into three steps. First, in the preprocessing step, we extract the contours of the input digit image and separate the outer and inner contour from the contour image. Second, we extract features from the outer contour and use them to build standard models. In the last step, we recognize the digits by comparing the features of the input digits with those of the models. We use 500 data for each digit. So a total of 5000 data are used in this paper. The overall recognition rate is 99.04%

Keywords

Fourier series; edge detection; feature extraction; handwritten character recognition; Fourier descriptors; contour extraction; contour image; contour information; feature extraction; hand-written digit recognition; inner contour; input digit image; input digits; outer contour; preprocessing; recognition rate; standard models; Data mining; Data preprocessing; Feature extraction; Flowcharts; Handwriting recognition; Humans; Image converters; Image recognition; Marketing and sales; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818663

Filename

818663