Evaluation of Geometric Context Models for Handwritten Numeral String Recognition
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6979380/6980977/06981019.pdf?arnumber=6981019
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DenseNet-CTC: An end-to-end RNN-free architecture for context-free string recognition;Computer Vision and Image Understanding;2021-03
2. Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10
3. In-situ synthesis of TiC/graphene/Ti6Al4V composite coating by laser cladding;Materials Letters;2020-07
4. MCMC Based Generative Adversarial Networks for Handwritten Numeral Augmentation;Lecture Notes in Electrical Engineering;2018-06-07
5. Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models;Pattern Recognition;2017-05
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