Text Detection and Recognition by using CNNs in the Austro-Hungarian Historical Military Mapping Survey
Author:
Affiliation:
1. Koc University, Turkey
Funder
European Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3476887.3476904
Reference27 articles.
1. [n.d.]. Entangled Histories: OCR + HTR = ATR: Automatic Text Recognition. https://lab.kb.nl/about-us/blog/entangled-histories-ocr-htr-atr-automatic-text-recognition. Accessed: 2021-02-05. [n.d.]. Entangled Histories: OCR + HTR = ATR: Automatic Text Recognition. https://lab.kb.nl/about-us/blog/entangled-histories-ocr-htr-atr-automatic-text-recognition. Accessed: 2021-02-05.
2. dhSegment: A Generic Deep-Learning Approach for Document Segmentation
3. Fast CNN-Based Document Layout Analysis
4. Automatic Detection of Road Types From the Third Military Mapping Survey of Austria-Hungary Historical Map Series With Deep Convolutional Neural Networks
5. Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers
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