IEEE - Institute of Electrical and Electronics Engineers, Inc. - Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF

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

Author(s): Bilan Zhu ; Arti Shivram ; Srirangaraj Setlur ; Venu Govindaraju ; Masaki Nakagawa
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): 349 - 353
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.77
Regular:

This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov random field (MRF) model in combination with an offline recognition method which... View More

Advertisement