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» A New Segmentation Approach for Handwritten Digits
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ICPR
2000
IEEE
15 years 10 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
ICDAR
2009
IEEE
15 years 4 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...
DAS
2008
Springer
14 years 11 months ago
A Complete Optical Character Recognition Methodology for Historical Documents
In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented. This methodology cons...
Georgios Vamvakas, Basilios Gatos, Nikolaos Stamat...
ICDAR
2009
IEEE
15 years 4 months ago
Combination of Measurement-Level Classifiers: Output Normalization by Dynamic Time Warping
Classifier combination is a powerful strategy to support useful solutions in difficult classification problems. Notwithstanding, the effectiveness of a multi-classifier system str...
Giuseppe Pirlo, Donato Impedovo, Claudia Adamita T...
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ICDAR
2007
IEEE
15 years 3 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...