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» Extraction of strokes in handwritten characters
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ICPR
2000
IEEE
13 years 9 months ago
Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
Qing Wang, Rongchun Zhao, Zheru Chi, David Dagan F...
ICPR
2008
IEEE
13 years 11 months ago
A novel orientation free method for online unconstrained cursive handwritten chinese word recognition
In this paper, we propose an orientation free method for unconstrained cursive handwritten Chinese word recognition. By a novel gravity center balancing method, the orientation of...
Teng Long, Lianwen Jin
SAC
2005
ACM
13 years 10 months ago
Handwritten character skeletonisation for forensic document analysis
A new method of skeletonisation (stroke extraction) of handwritten character images is presented. The method has been designed to extract the skeleton which is very close to human...
Vladimir Pervouchine, Graham Leedham, Konstantin M...
ICIP
2002
IEEE
14 years 6 months ago
Retrieval of sketches based on spatial relation between strokes
In this paper we propose a method to retrieve sketches stored in the form of multiple strokes, by extracting the shape information for each stroke and by considering the spatial r...
Wing Ho Leung, Tsuhan Chen
ICPR
2002
IEEE
14 years 6 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