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» A Markovian Approach for Handwritten Document Segmentation
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ICDAR
2009
IEEE
13 years 11 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
CVPR
2007
IEEE
14 years 6 months ago
Multi-scale Structural Saliency for Signature Detection
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
ICDAR
2009
IEEE
13 years 11 months ago
Text Line Segmentation Based on Morphology and Histogram Projection
Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text reg...
Rodolfo P. dos Santos, Gabriela S. Clemente, Ing R...
CVPR
2006
IEEE
14 years 6 months ago
Searching Off-line Arabic Documents
Currently an abundance of historical manuscripts, journals, and scientific notes remain largely unaccessible in library archives. Manual transcription and publication of such docu...
Jim Chan, Celal Ziftci, David A. Forsyth
ICDAR
2007
IEEE
13 years 11 months ago
Shape-Based Alphabet for Off-line Arabic Handwriting Recognition
This article describes an off-line handwritten Arabic words recognition system. Both explicit graphem segmentation and feature extraction are originally designed for Latin cursive...
F. Menasri, Nicole Vincent, Mohamed Cheriet, Emman...