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» Part-Based Recognition of Handwritten Characters
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DIAL
2004
IEEE
149views Image Analysis» more  DIAL 2004»
14 years 1 months ago
Holistic Word Recognition for Handwritten Historical Documents
Most offline handwriting recognition approaches proceed by segmenting words into smaller pieces (usually characters) which are recognized separately. The recognition result of a w...
Victor Lavrenko, Toni M. Rath, R. Manmatha
ICDAR
2003
IEEE
14 years 3 months ago
A class-modular GLVQ ensemble with outlier learning for handwritten digit recognition
A class-modular generalized learning vector quantization (GLVQ) ensemble method with outlier learning for handwritten digit recognition is proposed. A GLVQ classifier is one of d...
Katsuhiko Takahashi, Daisuke Nishiwaki
IJDAR
2010
88views more  IJDAR 2010»
13 years 8 months ago
A robust model for on-line handwritten japanese text recognition
This paper describes a robust model for on-line handwritten Japanese text recognition. The method evaluates the likelihood of candidate segmentation paths by combining scores of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...
ICDAR
2007
IEEE
14 years 4 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
ICDAR
2003
IEEE
14 years 3 months ago
Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
Sung-Jung Cho, Jin Hyung Kim