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» Scalable Feature Extraction from Noisy Documents
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ICIP
2004
IEEE
14 years 11 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco
CVPR
2009
IEEE
14 years 4 months ago
Recognizing realistic actions from videos
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu, Jiebo Luo, Mubarak Shah
ASSETS
2005
ACM
13 years 11 months ago
Automatic production of tactile graphics from scalable vector graphics
This paper presents a method to convert vector graphics into tactile representations for the blind. Generating tactile pictures from vector graphics is an important effort to bri...
Stephen E. Krufka, Kenneth E. Barner
DAS
2006
Springer
14 years 1 months ago
Document Logical Structure Analysis Based on Perceptive Cycles
This paper describes a Neural Network (NN) approach for logical document structure extraction. In this NN architecture, called Transparent Neural Network (TNN), the document struct...
Yves Rangoni, Abdel Belaïd
ICDAR
2009
IEEE
14 years 4 months ago
HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation
Amharic is the official language of Ethiopia and uses Ethiopic script for writing. In this paper, we present writer-independent HMM-based Amharic word recognition for offline hand...
Yaregal Assabie, Josef Bigün