Sciweavers

ICDAR
2005
IEEE
13 years 9 months ago
Recognition for Large Sets of Handwritten Mathematical Symbols
Natural and convenient mathematical handwriting recognition requires recognizers for large sets of handwritten symbols. This paper presents a recognition system for such handwritt...
Stephen M. Watt, Xiaofang Xie
ICDAR
2005
IEEE
13 years 9 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
ICDAR
2005
IEEE
13 years 9 months ago
Eigenspace Method for Text Retrieval in Historical Document Images
Kengo Terasawa, Takeshi Nagasaki, Toshio Kawashima
ICDAR
2005
IEEE
13 years 9 months ago
Learning Diagram Parts with Hidden Random Fields
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
Martin Szummer
ICDAR
2005
IEEE
13 years 9 months ago
A Ground-Truthed Mathematical Character and Symbol Image Database
This paper describes the specifications for our ground-truthed mathematical character and symbol
Masakazu Suzuki, Seiichi Uchida, Akihiro Nomura
ICDAR
2005
IEEE
13 years 9 months ago
Text Degradations and OCR Training
Printing and scanning of text documents introduces degradations to the characters which can be modeled. Interestingly, certain combinations of the parameters that govern the degra...
Elisa H. Barney Smith, Tim L. Andersen
ICDAR
2005
IEEE
13 years 9 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts....
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
ICDAR
2005
IEEE
13 years 9 months ago
Multi-scale Techniques for Document Page Segmentation
Page segmentation algorithms found in published literatures often rely on some predetermined parameters such as general font sizes, distances between text lines and document scan ...
Zhixin Shi, Venu Govindaraju
ICDAR
2005
IEEE
13 years 9 months ago
Semantic Analysis of Matrix Structures
Alan P. Sexton, Volker Sorge