IEEE - Institute of Electrical and Electronics Engineers, Inc. - Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features

2013 12th International Conference on Document Analysis and Recognition (ICDAR)

Author(s): Lei Hu ; Richard Zanibbi
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2013
Conference Location: Washington, DC, USA
Conference Date: 25 August 2013
Page(s): 1,180 - 1,184
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.239
Regular:

This paper presents a new symbol segmentation method based on AdaBoost with confidence weighted predictions for online handwritten mathematical expressions. The handwritten mathematical expression... View More

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