Text Line Segmentation in Handwritten Documents Based on Connected Components Trajectory Generation

2018 ◽  
pp. 222-234
Author(s):  
Insaf Setitra ◽  
Abdelkrim Meziane ◽  
Zineb Hadjadj ◽  
Nawfel Bengherbia
Keyword(s):  
Trajectory Generation ◽  
Connected Components ◽  
Text Line ◽  
Handwritten Documents ◽  
Text Line Segmentation ◽  
Line Segmentation

scholarly journals Text Line Segmentation with the Algorithm Based on the Oriented Anisotropic Gaussian Kernel

2013 ◽  
Vol 64 (4) ◽  
pp. 238-243 ◽  
Author(s):  
Darko Brodić ◽  
Zoran N. Milivojević
Keyword(s):  
Comparative Analysis ◽  
Document Image ◽  
Gaussian Kernel ◽  
Connected Components ◽  
Text Line ◽  
Text Line Segmentation ◽  
Bounding Boxes ◽  
Line Segmentation

The paper presents the algorithm for text line segmentation based on the oriented anisotropic Gaussian kernel. Initially, the document image is split into connected components achieved by bounding boxes. These connected components are cleared from redundant fragments. Furthermore, the binary moments are applied to each of these connected components evaluating local text skewing. According to this information the orientation of the anisotropic Gaussian kernel is set. After the algorithm application the boundary growing areas around connected components are established. These areas are of major importance for the evaluation of text line segmentation. For testing purposes, the algorithm is evaluated under different text samples. Comparative analysis between algorithm with and without orientation based on the anisotropic Gaussian kernel is made. The results show the improvement in the domain of text line segmentation.

scholarly journals INVESTIGASI SEGMENTASI BARIS UNTUK CITRA DOKUMEN SUNDA LAMPAU

2017 ◽  
Vol 2 (2) ◽  
pp. 60
Author(s):  
Erick Paulus ◽  
Mira Suryani ◽  
Setiawan Hadi ◽  
Akik Hidayat
Keyword(s):  
Text Line ◽  
Seam Carving ◽  
Handwritten Documents ◽  
Profile Method ◽  
Binary Images ◽  
Projection Profile ◽  
Segmentation Methods ◽  
Text Line Segmentation ◽  
Evaluation Matrix ◽  
Line Segmentation

The variety of image quality of old Sundanese documents can be a real challenge for the process of text line segmentation. This paper describes the results of the investigation of two text line segmentation methods against several collections of Sunda document images, ie projection profile method and Seam Carving method. The deep investigation is done on handwritten documents written on lontar and paper media. The comparative experimental study was used as an investigative methodology in this study. Both methods is tested their performance capability on colored images and binary images using the evaluation matrix provided in handwriting segmentation competition ICDAR 2013. Experimental results show that projection profile method can work optimally on binary image and the type of writing is relatively horizontal. While the Seam Carving method is able to segment the lines in a non-linear manner and produce performance above 80%. With the added of binarization process in the pre-processing stage, the performance of Seam Carving method can increase up to 99% and the number of segmented lines is close to the number of groundtruth lines.

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

2006 ◽  
Author(s):  
Yi Li ◽  
Yefeng Zheng ◽  
David Doermann ◽  
Stefan Jaeger
Keyword(s):  
Text Line ◽  
Handwritten Documents ◽  
Text Line Segmentation ◽  
Line Segmentation

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

2008 ◽  
Vol 30 (8) ◽  
pp. 1313-1329 ◽  
Author(s):  
Yi Li ◽  
Yefeng Zheng ◽  
David Doermann ◽  
Stefan Jaeger
Keyword(s):  
Text Line ◽  
Handwritten Documents ◽  
Text Line Segmentation ◽  
Line Segmentation
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