DocumentCode
591965
Title
Handwritten English Word Recognition Based on Convolutional Neural Networks
Author
Aiquan Yuan ; Gang Bai ; Po Yang ; Yanni Guo ; Xinting Zhao
Author_Institution
Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin, China
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
207
Lastpage
212
Abstract
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%.
Keywords
convolution; handwritten character recognition; image segmentation; natural language processing; neural nets; UNIPEN lowercase data set; convolutional neural network; lexicon-driven handwritten English recognition system; offline character recognition; online segmentation; segmentation-based handwritten English word recognition system; word recognition rate; Character recognition; Feature extraction; Handwriting recognition; Heuristic algorithms; Image segmentation; Neural networks; Neurons; Convolutional Neural Networks; Handwritten English Word Recognition; Modified Word Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
Conference_Location
Bari
Print_ISBN
978-1-4673-2262-1
Type
conf
DOI
10.1109/ICFHR.2012.210
Filename
6424393
Link To Document