Sciweavers

205 search results - page 16 / 41
» Part-Based Recognition of Handwritten Characters
Sort
View
ICDAR
2009
IEEE
14 years 4 months ago
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun...
ICPR
2002
IEEE
14 years 2 months ago
Using Eigen-Deformations in Handwritten Character Recognition
Deformations in handwritten characters have classdependent tendencies. For example, characters of class “A” are often deformed by global slant transformation and never deforme...
Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 4 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
ICPR
2004
IEEE
14 years 11 months ago
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition
We evaluate different two-dimensional non-linear deformation models for handwritten character recognition. Starting from a true two-dimensional model, we derive pseudo-two-dimensi...
Daniel Keysers, Christian Gollan, Hermann Ney
ICDAR
2011
IEEE
12 years 9 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-l...
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa