.png){kind=icon}
返回
Offline continuous handwriting recognition using sequence to sequence neural networks
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2018.02.008.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes the use of a new neural network architecture that combines a deep convolutional neural network with an encoder-decoder, called sequence to sequence, to solve the problem of recognizing isolated handwritten words. The proposed architecture aims to identify the characters and contextualize them with their neighbors to recognize any given word. Our model proposes a novel way to extract relevant visual features from a word image. It combines the use of a horizontal sliding window, to extract image patches, and the application of the LeNet-5 convolutional architecture to identify the characters. Extracted features are modeled using a sequence-to-sequence architecture to encode the visual characteristics and then to decode the sequence of characters in the handwritten text image. We test the proposed model on two handwritten databases (IAM and RIMES) under several experiments to determine the optimal parameterization of the model. Competitive results above those presented in the current state-of-the-art, on handwriting models, are achieved. Without using any language model and with closed dictionary, we obtain a word error rate in the test set of 12.7% in IAM and 6.6% in RIMES. (C) 2018 Elsevier B.V. All rights reserved.
Keyword:
Artificial intelligence
Handwriting recognition
Convolutional Neural Networks
Recurrent Neural Networks
Sequence to sequence networks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Purification and characterization
of an extracellular esterase
from Arthrobacter nicotianae 9458.png)
Le Lait
OAAI
Le LaitIF0
OAAI分享收藏
RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY随机样本共识-模型拟合的范例，可应用于图像分析和自动制图OAAI
OAAI分享收藏Gradient-based learning applied to document recognition基于梯度的学习在文档识别中的应用PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏分享收藏
查看更多内容