面向智能手机拍摄的变形文档图像校正

智能手机拍摄的图像中经常会出现变形的文档图像,变形的文档图像影响文本的识别和后期图像处理等工作,而现有的变形文档图像校正方法存在校正类型单一和校正效果不理想的问题.针对以上问题,提出了一种基于最小化重投影的变形文档图像校正方法.该方法首先通过文本域轮廓检测,合并文本域轮廓来获取文本行连通域.然后利用主成分分析法PCA在...

Correcting distorted document images on smartphones

Distorted document images usually appear in smartphone images,which causes a lot of inconvenience for users.These images affect text recognition,post-processing,etc.Existing distorted document image correction methods have some limitations such as single correction type and unsatisfactory correction effect.To solve the above problems,an distorted document image correction method based on minimizing re-projection is proposed.Firstly,the connected domain of text lines is obtained by detecting text field contour and merging text field contour.Secondly,PCA(Principal Component Ana-lysis)is adopted to generate key points of text in the connected domain of the row.Finally,resampled parameters are obtained by minimizing the distance between the key points and their projection points.The distorted pages are re-projected to minimize the document image correction.After correction,the recognition rate is effectively improved.Compared with the existing methods,a better recognition effect is achieved.Moreover,ablation experiments are used to verify the improvement effect of text field merging and minimization re-projection on the recognition performance respectively.