A novel method for de-warping in Persian document images captured by cameras

In this Paper, We Proposed a novel algorithm for de-warping of Persian document images captured by the cameras. The aim of de-warping is to remove page distortions and to straighten document images captured by the cameras, so that the documents are readable to the OCR system. Recently, the industrial implementation of the images captured by digital cameras has significantly expanded. Most of the studies carries out so far in this regard have focused on the documents written in Latin and few researches have been conducted regarding Persian documents. The original idea of the proposed algorithm is based on the segmentation of the components of texts. In this algorithm, an effective technique is offered for detection of the upper and lower baselines, which is used in estimation of the slope of the words. Moreover, vertical shift of the warped words is done through fitting a quadratic curve fitted to the centers of the words in a line in relation to the horizontal line. The suggested algorithm is examined by qualitative and quantitative measures and the results of its implementation on various documents indicate a 92% accuracy of the proposed technique in correction of the location and angle of the words.