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AUSAI
2006
Springer
15 years 1 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
ICDAR
2003
IEEE
15 years 2 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
AUSAI
2008
Springer
14 years 11 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
ICDAR
2003
IEEE
15 years 2 months ago
Character Recognition by Adaptive Statistical Similarity
Handwriting recognition and OCR systems need to cope with a wide variety of writing styles and fonts, many of them possibly not previously encountered during training. This paper d...
Thomas M. Breuel
ICPR
2008
IEEE
15 years 3 months ago
On-line handwritten Kanji string recognition based on grammar description of character structures
In this paper, we evaluate a method for on-line handwritten Kanji character recognition by describing the structure of Kanji using Stochastic Context-Free Grammar (SCFG), and exte...
Ikumi Ota, Ryo Yamamoto, Takuya Nishimoto, Shigeki...