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ICPR
2002
IEEE
14 years 8 months ago
Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
Minoru Mori, Minako Sawaki, Norihiro Hagita
ICARCV
2002
IEEE
141views Robotics» more  ICARCV 2002»
14 years 21 days ago
An efficient binary corner detector
Corner extraction is an important task in many computer vision systems. The quality of the corners and the efficiency of the detection method are two very important aspects that ...
Parvanesh Saeedi, David Lowe, Peter Lawrence
ICDAR
1995
IEEE
13 years 11 months ago
Handwritten word recognition for real-time applications
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
Gyeonghwan Kim, Venu Govindaraju
ICASSP
2009
IEEE
14 years 2 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu
ICDAR
2011
IEEE
12 years 7 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin