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DAS
2008
Springer
13 years 9 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A Complete Optical Character Recognition Methodology for Historical Documents
In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented.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...
DAS
2008
Springer
13 years 9 months ago
A Robust System to Detect and Localize Texts in Natural Scene Images
In this paper, we present a robust system to accurately detect and localize texts in natural scene images. For text detection, a region-based method utilizing multiple features an...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
ICPR
2010
IEEE
13 years 10 months ago
Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores
The optical recognition of handwritten musical scores by computers remains far from ideal. Most OMR algorithms rely on an estimation of the staffline thickness and the vertical lin...
Jaime Cardoso S., Rebelo Silva
ICPR
2004
IEEE
14 years 8 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
ICDAR
2009
IEEE
14 years 2 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