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ICPR
2004
IEEE
14 years 5 months ago
Discrimination of Machine-Printed from Handwritten Text Using Simple Structural Characteristics
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...
Efstathios Stamatatos, Ergina Kavallieratou
DAS
2006
Springer
13 years 8 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
JMLR
2010
185views more  JMLR 2010»
12 years 11 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
ICDAR
2009
IEEE
13 years 11 months ago
The Understanding and Structure Analyzing for Online Handwritten Chemical Formulas
In this paper, we propose a novel approach for understanding and analyzing the online handwritten chemical formulas. With the structural characteristics, semantic rules, and more ...
Xin Wang, Guangshun Shi, Jufeng Yang
PAMI
2007
127views more  PAMI 2007»
13 years 4 months ago
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
—The identification of a person on the basis of scanned images of handwriting is a useful biometric modality with application in forensic and historic document analysis and const...
Marius Bulacu, Lambert Schomaker