Paper Info
Title
The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods
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.
Year
DOI
Venue
2009
10.1109/ICDIP.2009.45
ICDIP
Keywords
Field
DocType
corrected firstly,feature point,square methods,skew correcting method,dimension bar code,recognition rate,two-dimension barcode,edge profile,dimension barcode,skew angle,features point,decoding,digital images,least square method,fourier transforms,graphics,feature extraction,data mining,interpolation,linear regression,two dimensions,image restoration,probability density function
Least squares,Line (geometry),Pattern recognition,Interpolation,Feature extraction,Digital image,Skew,Artificial intelligence,Image restoration,Barcode,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Bo Chen1273.37
Zhi Liu219537.27
Xiaohui Xu300.34