53 citations · 81 across the 6 of their papers we have counts for
6 papers
Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature
Songxuan Lai, Lianwen Jin, Weixin Yang
Inspired by the great success of recurrent neural networks (RNNs) in sequential modeling, we introduce a novel RNN system to improve the performance of online signature verificatio…
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
Xuefeng Xiao, Lianwen Jin, Yafeng Yang +3
Like other problems in computer vision, offline handwritten Chinese character recognition (HCCR) has achieved impressive results using convolutional neural network (CNN)-based meth…
Toward high-performance online HCCR: a CNN approach with DropDistortion, path signature and spatial stochastic max-pooling
Songxuan Lai, Lianwen Jin, Weixin Yang
This paper presents an investigation of several techniques that increase the accuracy of online handwritten Chinese character recognition (HCCR). We propose a new training strategy…
Improved Deep Convolutional Neural Network For Online Handwritten Chinese Character Recognition using Domain-Specific Knowledge
Weixin Yang, Lianwen Jin, Zecheng Xie +1
Deep convolutional neural networks (DCNNs) have achieved great success in various computer vision and pattern recognition applications, including those for handwritten Chinese char…
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition
Weixin Yang, Lianwen Jin, Dacheng Tao +2
Inspired by the theory of Leitners learning box from the field of psychology, we propose DropSample, a new method for training deep convolutional neural networks (DCNNs), and apply…
Character-level Chinese Writer Identification using Path Signature Feature, DropStroke and Deep CNN
Weixin Yang, Lianwen Jin, Manfei Liu
Most existing online writer-identification systems require that the text content is supplied in advance and rely on separately designed features and classifiers. The identification…