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ICDAR
2009
IEEE
15 years 4 months ago
Spatial and Spectral Based Segmentation of Text in Multispectral Images of Ancient Documents
In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to comb...
Martin Lettner, Robert Sablatnig
SSPR
2000
Springer
15 years 1 months ago
Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations
Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we propos...
Matthew Y. Ma, Chi Zhang, Patrick Shen-Pei Wang
ICDAR
2003
IEEE
15 years 2 months ago
Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling ...
Kyung-Won Kang, Jin Hyung Kim
82
Voted
ICDAR
2007
IEEE
15 years 1 months ago
Identification of Latin-Based Languages through Character Stroke Categorization
This paper presents a language identification technique that detects Latin-based languages of imaged documents without OCR. The proposed technique detects languages through the wo...
S. J. Lu, L. Li, Chew Lim Tan
100
Voted
DAS
2006
Springer
15 years 1 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