https://github.com/isi-vista/VistaOCR
ISI's Optical Character Recognition (OCR) software for machine-print and handwriting data
https://github.com/isi-vista/VistaOCR
Last synced: 3 months ago
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ISI's Optical Character Recognition (OCR) software for machine-print and handwriting data
- Host: GitHub
- URL: https://github.com/isi-vista/VistaOCR
- Owner: isi-vista
- License: apache-2.0
- Created: 2018-04-27T17:04:27.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-06-27T19:09:40.000Z (about 6 years ago)
- Last Synced: 2024-11-03T10:32:53.854Z (8 months ago)
- Language: Python
- Size: 186 KB
- Stars: 23
- Watchers: 9
- Forks: 10
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# VistaOCR
ISI's Optical Character Recognition (OCR) software for machine-print and handwriting data
# Publications
*"How to Efficiently Increase Resolution in Neural OCR Models"*. Stephen Rawls, Huaigu Cao, Joe Mathai, Prem Natarajan. IEEE Workshop on Arabic Script Analysis and Recognition (ASAR) 2018.
[*"Combining Convolutional Neural Networks and LSTMs for Segmentation Free OCR"*](https://doi.org/10.1109/ICDAR.2017.34). Stephen Rawls, Huaigu Cao, Senthil Kumar, Prem Natarajan. International Conference on Document Analysis and Recognition (ICDAR) 2017.
[*"Combining Deep Learning and Language Modeling for Segmentation-free OCR From Raw Pixels"*](https://doi.org/10.1109/ASAR.2017.8067772). Stephen Rawls, Huaigu Cao, Ekraam Sabir, Prem Natarajan. IEEE Workshop on Arabic Script Analysis and Recognition (ASAR) 2017.
# Model
# Pretrained Models
Coming Soon. Pre-trained models for English, French, and Arabic Handwriting
# Performance Numbers
Coming soon. Expected character and word error rates from public datasets.
# How to Train
Coming soon.
# How to Decode using Existing Model
Coming soon.
# Citation
```
@inproceedings{vistaocr,
author = {Stephen Rawls and Huaigu Cao and Senthil Kumar and Prem Natarjan},
title = {Combining Convolutional Neural Networks and LSTMs for Segmentation Free OCR},
booktitle = {Proc. ICDAR},
year = {2017},
url = {https://doi.org/10.1109/ICDAR.2017.34},
doi = {10.1109/ICDAR.2017.34}
}
```