Description: As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.
File list (Check if you may need any files):
QRcode\1.bmp
......\1.fig
......\2.fig
......\3.fig
......\90.bmp
......\aa.asv
......\aa.m
......\Demo.m
......\Dimchanged.asv
......\imrotate1.asv
......\imrotate1.m
......\main.asv
......\medchanged.bmp
......\medchanged.fig
......\medfilter.asv
......\medfilter.m
......\medlunwen.bmp
......\mininfo.asv
......\PaielliValue.asv
......\Pallivalue2.asv
......\qr.bmp
......\qr190.bmp
......\QR2.bmp
......\qr2180.bmp
......\qr290.bmp
......\QR3.bmp
......\QR4.bmp
......\qr5.bmp
......\qrbw.bmp
......\qrcode.txt
......\qrfilt.bmp
......\qrgb.bmp
......\qrmed.bmp
......\qrmedd.bmp
......\qrmedfilt.bmp
......\qrmedfilt.fig
......\qrotate.bmp
......\QR_code_main.m
......\QR_code_pos.m
......\Readme.txt
......\rgb.bmp
......\sizergb.m
......\temed.m
......\test.m
QRcode
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