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CVPR
2010
IEEE
14 years 5 months ago
Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling
Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models...
Andrew Kae, Gary Huang, Erik Learned-miller, Carl ...
ICDAR
2009
IEEE
14 years 3 months ago
A Modified Adaptive Logical Level Binarization Technique for Historical Document Images
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT ...
Konstantinos Ntirogiannis, Basilios Gatos, Ioannis...
ICDAR
2005
IEEE
14 years 2 months ago
On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems
We present an automatic on-line adaptation mechanism to the writer’s handwriting style for the recognition of isolated handwritten characters. The classifier is based on a Fuzz...
Harold Mouchère, Éric Anquetil, Nico...
LREC
2008
88views Education» more  LREC 2008»
13 years 10 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
EWCBR
2008
Springer
13 years 10 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...