Text Detection and Recognition by using CNNs in the Austro-Hungarian Historical Military Mapping Survey-Reference-Cited by-同舟云学术

Text Detection and Recognition by using CNNs in the Austro-Hungarian Historical Military Mapping Survey

Published:2021-09-05 Issue: Volume: Page:
ISSN:
Container-title:The 6th International Workshop on Historical Document Imaging and Processing
language:
Short-container-title:

Author:

Can Yekta Said¹,Kabadayi Mustafa Erdem¹

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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