Image-Based Optical Mark Recognition Algorithm with no-Marked
This paper makes a study on no-marked Optical Mark Recognition based on images, to solve the problems of image rotating, segmentation and mark recognition. In this paper, we firstly estimate the background and detect the skew angle of the input image, de-skew the image before segment, the marking area segmentation based on project function which is transformed by wavelet for eliminating the noises and location the mark position ,give the model of the determination threshold during the recognition. Test result indicates this algorithm is effective for marking area segmentation and recognition, and is highly valuable applied in automation of information acquisition systems.
Optical Mark Recognition image segmentation deskewing information acquisition
WANG Xichang LIU Jiang LI Xiaopeng WANG Dan YANG Xia
Shan Dong University School of Information Science and Engineering, Shan Dong, China Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong, China
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
71-75
2010-12-25（万方平台首次上网日期，不代表论文的发表时间）