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ICDAR
2009
IEEE
15 years 4 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
ICDAR
2009
IEEE
15 years 4 months ago
Word-Based Adaptive OCR for Historical Books
The aim of this work is to propose a new approach to the recognition of historical texts by providing an adaptive mechanism that automatically tunes itself to a specific book. Th...
Vladimir Kluzner, Asaf Tzadok, Yuval Shimony, Euge...
ICPR
2000
IEEE
15 years 10 months ago
Embedded Formulas Extraction
A new approach for separating mathematics from usual text is presented. Contrary to the existing methods, it is more oriented toward the segmentation than the recognition, isolati...
Abdel Belaïd, Afef Kacem, Mohamed Ben Ahmed
ICDAR
2009
IEEE
15 years 4 months ago
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
Huiqun Deng, George Stathopoulos, Ching Y. Suen
MM
2009
ACM
219views Multimedia» more  MM 2009»
15 years 4 months ago
Descriptive visual words and visual phrases for image applications
The Bag-of-visual Words (BoW) image representation has been applied for various problems in the fields of multimedia and computer vision. The basic idea is to represent images as ...
Shiliang Zhang, Qi Tian, Gang Hua, Qingming Huang,...