Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
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Updated
Feb 4, 2023 - Python
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
This a Machine Learning Project which Recognises handwritten digits .i.e. 0 to 9.
Training a sequential model to classify handwritten digits by using the mnist dataset and creating a interface to classify your own handwritten digits.
Tifinagh Character Classifier is a Python-based application that uses a pre-trained deep learning model to recognize and classify Tifinagh script characters. Built with TensorFlow and Tkinter, this project provides an intuitive graphical interface for users to upload images of Tifinagh characters and receive predictions with confidence scores.
Domain adversarial network trained on MNIST-M, SVHN, and USPS
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users - Accepted at SIGIR 2019
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