Handwritten English Word Recognition Based on Convolutional Neural Networks

This paper presents a novel segmentation-based and lexicon-driven handwritten English recognition systems. For the segmentation, a modified online segmentation method based on rules are applied. Then, convolutional neural networks are introduced for offline character recognition. Experiments are eva...

Full description

Saved in:
Bibliographic Details
Published in2012 International Conference on Frontiers in Handwriting Recognition pp. 207 - 212
Main Authors Aiquan Yuan, Gang Bai, Po Yang, Yanni Guo, Xinting Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Character recognition
Convolutional Neural Networks
Feature extraction
Handwriting recognition
Handwritten English Word Recognition
Heuristic algorithms
Image segmentation
Modified Word Segmentation
Neural networks
Neurons
Online AccessGet full text
ISBN9781467322621
1467322628
DOI10.1109/ICFHR.2012.210

Cover

More Information
Summary:This paper presents a novel segmentation-based and lexicon-driven handwritten English recognition systems. For the segmentation, a modified online segmentation method based on rules are applied. Then, convolutional neural networks are introduced for offline character recognition. Experiments are evaluated on UNIPEN lowercase data sets, with the word recognition rate of 92.20%.
ISBN:9781467322621
1467322628
DOI:10.1109/ICFHR.2012.210