Research Reports
Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34
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Item Angle Minimization and Graph Analysis for text line segmentation in handwritten documents(CERIST, 2018-07-08) Setitra, Insaf; Meziane, AbdelkrimWe propose in this paper a novel approach for text line segmentation in handwritten documents. The approach is based on angle minimization and graph analysis for text lines extraction. We apply our approach on images of ICDAR 2013 Handwriting Segmentation Contest, and give details about its robustness against skew and text orientation. We compare the approach to relevant text line segmentation state of art methods, apply it to Algerian manuscripts and report relevant resultsItem A tracking approach for text line segmentation in handwritten documents(CERIST, 2017-02-24) Setitra, Insaf; Hadjadj, Zineb; Meziane, AbdelkrimTracking of objects in videos consists of giving a label to the same object moving in different frames. This labeling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript as a moving object and to track it so that to minimize the distance and angle of the connected component to its nearest neighbor. The approach was applied to images of ICDAR 2013 handwritten segmentation contest and proved to be robust against text orientation, size and writing script.