The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods

Author

Chen, Bo ; Liu, Zhi ; Xu, Xiaohui

Author_Institution

Software Coll., Zhejiang Univ. of Technolgy, Hangzhou, China

fYear

2009

fDate

7-9 March 2009

Firstpage

181

Lastpage

184

Abstract

In general, the scanned image of two dimension barcode is usually skew. In order to recognize two dimension barcode correctly, the skew angle of two dimension barcode must be detected and corrected firstly. In this paper, the edge profile of two dimension barcode is extracted and the feature points are saved at first. Then the Least Square Methods is used to synthesize these features points to a straight line in order to get the skew angle and correct them. Experimental results show that this algorithm is fast and strong anti-noise. The identification and recognition rate for the two-dimension barcode is increased effectively.

Keywords

bar codes; feature extraction; image restoration; least squares approximations; 2D bar code; edge profile; feature points; image restoration; least square methods; skew correcting; Decoding; Detection algorithms; Digital images; Educational institutions; Feature extraction; Fourier transforms; Graphics; Image edge detection; Least squares methods; Linear regression; Two-dimensional bar code; least square methods; skew correct;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Image Processing, 2009 International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-3565-4

Type

conf

DOI

10.1109/ICDIP.2009.45

Filename

5190572