A Recognition Algorithm for Letter Digital Images Based on the Centroid

Author

Du, Jiaming ; Wang, Chaoli ; Liang, Shuling ; Liang, Zhenying

Author_Institution

Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a recognition algorithm for letter digital images, which is implemented by using the centroid angle: the angle between two adjacent vectors from the corner points of a letter digital image to the centroid of the corner points. The feature of a letter is chosen as a vector which is composed of centroid angles in a clockwise (or anticlockwise) direction around the centroid. Candidate corner points of letter digital images are obtained by using Harris algorithm and the corner points are gotten by clustering candidate corner points. The centroid angle algorithm is based on the angle´s geometric invariance and it can be easily used to normalize digital images. Therefore, it is invariant under rotation, stretching and translation. The result of the experiment shows that it is helpful to improve the rate of recognition for letter digital images.

Keywords

character recognition; image recognition; vectors; Harris algorithm; centroid angle algorithm; geometric invariance; letter digital image; recognition algorithm; Change detection algorithms; Clustering algorithms; Detectors; Digital images; Image edge detection; Image recognition; Optical computing; Paper technology; Partial response channels; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304482

Filename

5304482