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» Offline Handwritten Chinese Character Recognition Using Opti...
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141
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CIMCA
2006
IEEE
15 years 8 months ago
A Junction Based Segmentation Algorithm for Offline Handwritten Connected Character Segmentation
A junction based approach for Segmenting and recognizing offline handwritten connected twodigit strings is presented in this paper. Very often even in a printed text, adjacent cha...
U. K. S. Jayarathna, G. E. M. D. C. Bandara
161
Voted
ICDAR
2009
IEEE
15 years 9 days ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
149
Voted
ICDAR
2003
IEEE
15 years 7 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
123
Voted
ICDAR
2009
IEEE
15 years 9 months ago
Integrating Language Model in Handwritten Chinese Text Recognition
This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...
Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu
148
Voted
ICDAR
2011
IEEE
14 years 2 months ago
On-line Handwritten Japanese Characters Recognition Using a MRF Model with Parameter Optimization by CRF
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
Bilan Zhu, Masaki Nakagawa