Features for Neural Net Based Region Identification of Newspaper Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Text - Image Separation in Devanagari Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Document zone content classification and its performance evaluation
Pattern Recognition
A graph based approach for heterogeneous document segmentation
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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Abstract: This paper presents an algorithm designed to segment and classify newspaper documents. A notable feature of this algorithm is the ability to detect lines in the document - including lines that are connected to other components. A bottom-up approach is used to segment the image into patterns, and then each pattern is classified into one of seven types. Complete regions are then formed from the classified patterns.