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» A comparative study of two object recognition methods
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ICPR
2002
IEEE
15 years 2 months ago
Graphics Recognition from Binary Images: One Step or Two Steps
Recognizing graphic objects from binary images is an important task in many real-life applications. Generally, there are two ways to do the graphics recognition: onestep methods a...
Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai
ICCV
2011
IEEE
13 years 9 months ago
End-to-end Scene Text Recognition
This paper focuses on the problem of word detection and recognition in natural images. The problem is significantly more challenging than reading text in scanned documents, and h...
Kai Wang, Boris Babenko, Serge Belongie
ICFHR
2010
139views Biometrics» more  ICFHR 2010»
14 years 4 months ago
A Comparative Evaluation of Finger-Drawn Graphical Password Verification Methods
Abstract--Doodle-based graphical passwords represent a challenging scenario due to their high variability and the tendency to be graphically simple. Despite this, doodle-based auth...
Marcos Martinez-Diaz, C. Martin-Diaz, Javier Galba...
FGR
2004
IEEE
205views Biometrics» more  FGR 2004»
15 years 1 months ago
Oriented Filters for Object Recognition: an Empirical Study
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
Jerry Jun Yokono, Tomaso Poggio
CVPR
2005
IEEE
15 years 11 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...