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ICPR
2010
IEEE
13 years 8 months ago
Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
Abstract--We attempt to evaluate the efficacy of six unsupervised evaluation method to tune Sauvola's threshold in optical character recognition (OCR) applications. We propose...
Marte Alejandro Ramírez-Ortegón, Raul Rojas
ICDAR
2009
IEEE
13 years 3 months ago
An Open Source Tesseract Based Optical Character Recognizer for Bangla Script
BanglaOCR is currently the only open source optical character recognition (OCR) software for the Bangla (Bengali) script developed by the Center for Research on Bangla Language Pr...
Md. Abul Hasnat, Muttakinur Rahman Chowdhury, Mumi...
AND
2009
13 years 3 months ago
Accessing the content of Greek historical documents
In this paper, we propose an alternative method for accessing the content of Greek historical documents printed during the 17th and 18th centuries by searching words directly in d...
Anastasios L. Kesidis, Eleni Galiotou, Basilios Ga...
IJDAR
2007
127views more  IJDAR 2007»
13 years 5 months ago
Word matching using single closed contours for indexing handwritten historical documents
Abstract. Effective indexing is crucial for providing convenient access to scanned versions of large collections of handwritten historical manuscripts. Since traditional handwritin...
Tomasz Adamek, Noel E. O'Connor, Alan F. Smeaton
ICDAR
2005
IEEE
13 years 11 months ago
Motion Deblurring for Optical Character Recognition
This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the docum...
Xing Yu Qi, Li Zhang, Chew Lim Tan