Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
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Updated
Jun 12, 2019 - Python
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.
Handwritten Kazakh and Russian (HKR) database for text recognition
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”
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Evaluation of different machine learning models on the task of online handwritten character recognition
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Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
Virtual Pen + Recognition of handwritten digits
A web app to convert handwritten forms to digital forms. Initially you are supposed to upload a template of your form that isn't filled. If the templates of your form is already available, you just need to upload your handwritten form and it will be converted to digital text.
Gujarati Handwritten Character Recognition Project.
An android application which extracts handwritten text from an image.
Handwritten Character Recognition. EMNIST dataset on Kaggle. Tensorflow2 - Keras - CNN - 0.85 evaluation.
Handwritten text recognition using CNN with EMNIST dataset
HMBD: Arabic Handwritten Characters Dataset
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