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
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;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
Conference_Location :
Bari
Print_ISBN :
978-1-4673-2262-1
DOI :
10.1109/ICFHR.2012.210
