This paper presents a novel approach to writer adaptation based on convolutional neural network (CNN) as a feature extractor and improved discriminative ...
This paper proposes a neural network approach to solving the handwritten Chinese character recognition problem. A two-dimensional Hopfield network is employed ...
People also ask
What is feature extraction in handwritten character recognition?
What is CNN in handwritten digit recognition?
What is feature extraction in convolutional neural network?
What is handwritten text recognition using neural networks?
This paper presents a novel approach to writer adaptation based on convolutional neural network (CNN) as a feature extractor and improved discriminative ...
A novel framework of writer adaptation based on deeply learned features for online handwritten Chinese character recognition using a tandem architecture ...
This paper proposes a model based on CNN to deal with matters of handwritten Chinese character recognition. Different with conventional recognition system, in ...
We propose a new method for OLHCCR, which is entirely based on 1-D CNN. •. Our method achieves 98.11% on ICDAR-2013 and 97.14% on IAHCCR-UCAS2016.
Adoption of domain-specific knowledge for enhancement of handwritten Chinese character recognition (HCCR) based on deep convolutional neural networks (DCNNs).
摘要. This paper presents a novel approach to writer adaptation based on convolutional neural network (CNN) as a feature ex.
Abstract This paper proposes a novel framework of writer adaptation based on deeply learned features for online hand- written Chinese character recognition.
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models. Pattern Recognition. (2017).