Title :
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
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;
Conference_Titel :
Digital Image Processing, 2009 International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3565-4
DOI :
10.1109/ICDIP.2009.45
