OMR image segmentation based on mutation signal detection

Concerning the accurate positioning of Optical Mark Recognition(OMR) images without any position information,an image segmentation approach of mutation signal detection based on wavelet transformation was proposed.Firstly,the horizontal and vertical projective operations were processed,and then these functions were transformed by wavelet to detect mutation points,which can better reflect the boundary of OMR information.This algorithm's adaptability is based on limited times of wavelet transform and mutation signal detection.The experimental results demonstrate that the method possesses high accuracy of segmentation and stability,and the mean square error of segmentation accuracy can be 0.416 7 pixels.The processing of this method is efficient because the segmentation only used the horizontal and vertical information.This algorithm is not sensitive to noise because of the statistic characteristic of projection functions and multi-resolution characteristic of wavelet tranformation.