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» Character Recognition under Severe Perspective Distortion
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ICDAR
2009
IEEE
13 years 11 months ago
Character Recognition under Severe Perspective Distortion
A common problem encountered in signboard recognition is the perspective distortion of characters. In this paper, we propose a method which is able to directly recognize character...
Peng Zhou, Linlin Li, Chew Lim Tan
ICDAR
2011
IEEE
12 years 4 months ago
Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants
—In this paper, we present a novel method to recognize characters with severe perspective distortion using hash tables and perspective invariants. The proposed algorithm consists...
Pan Pan, Yuanping Zhu, Jun Sun 0004, Satoshi Naoi
ICDAR
2009
IEEE
13 years 11 months ago
Real-Time Camera-Based Recognition of Characters and Pictograms
Camera-based character recognition systems should have the capability of quick operation and recognizing perspectively distorted texts in a complex layout. In this paper, in order...
Masakazu Iwamura, Tomohiko Tsuji, Akira Horimatsu,...
ICPR
2006
IEEE
14 years 6 months ago
Camera Text Recognition based on Perspective Invariants
As camera resolution increases, high-speed non-contact text capture through a digital camera is opening up a new channel for document capture and understanding. Unfortunately, per...
Chew Lim Tan, Shijian Lu
ICDAR
2011
IEEE
12 years 4 months ago
Three Dimensional Rotation-Free Recognition of Characters
—In this paper, we propose a new method for three dimensional rotation-free recognition of characters in scene. In the proposed method, we employ the Modified Quadratic Discrimi...
Ryo Narita, Wataru Ohyama, Tetsushi Wakabayashi, F...