A SCRIPT-INDEPENDENT METHODOLOGY FOR OPTICAL CHARACTER RECOGNITION
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Cited by 25 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. Template-based generation of entertaining illustrations for news publication in social media using deep neural networks;2021 Ivannikov Ispras Open Conference (ISPRAS);2021-12
2. Combining Convolutional Neural Networks and LSTMs for Segmentation-Free OCR;2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR);2017-11
3. Recognition of Off-Line Arabic Handwriting Words Using HMM Toolkit (HTK);2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV);2016-03
4. A Slippery Window and VH2D Approach to Recognition Offline Arabic Words;Advances in Intelligent Systems and Computing;2013
5. Arabic Text Recognition Using a Script-Independent Methodology: A Unified HMM-Based Approach for Machine-Printed and Handwritten Text;Guide to OCR for Arabic Scripts;2012
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