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We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e.g, movies, books, TV shows). Unlike many other NER systems that need to...
Improving Text Recognition in Images of Natural Scenes
Computer Vision Scene Text Text Recognition
2014/12/18
The area of scene text recognition focuses on the problem of recognizing arbitrary text in images of natural scenes. Examples of scene text include street signs, business signs, grocery item labels, a...
SEGMENTATION AND MODELING IN SEGMENT-BASED RECOGNITION
SEGMENTATION MODELING SEGMENT-BASED RECOGNITION
2014/11/27
Recently, we have developed a probabilistic framework for segmentbased speech recognition that represents the speech signal as a network of segments and associated feature vectors [2]. Although in gen...
Selected Local Gabor Binary Patterns Based On Mutual Information For Face Recognition
Selected Local Gabor Binary Patterns Mutual Information For Face Recognition
2010/12/16
Appropriate representation is one of the keys to the success of face recognition technologies.
In this paper, we present a novel face representation approach using a reduced
set of local histograms ...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence Novel Non-Statistical Model
2010/12/15
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...