Analysis of Line Segmentation Methods for Historical Manuscripts
Author:
Affiliation:
1. Punjabi University,Department of Computer Science,Patiala,India
2. Akal University,Department of Computer Science,Talwandi Sabo,Punjab
3. Guru Kashi University,Department of Computer Science,Talwandi Sabo,Punjab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823610.pdf?arnumber=9823610
Reference13 articles.
1. Baseline Detection in Historical Documents using Convolution U-Nets;fink;IAPR Workshop Document Analysis Systems,0
2. Text Line Segmentation using a fully convolution Network in handwritten document image;vo;14th IAPR International Conference on Document Analysis and Recognition (ICDAR),0
3. Fully convolutional network with dilated convolutions for handwritten text line segmentation
4. A two-step framework for text line segmentation in historical Arabic and Latin document images
5. Line segmentation of handwritten Gurmukhi manuscripts
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