Solution based on Text Detection with Differentiable Binarization and Adaptive Scale Fusion method and CNN-BLSTM-CTC OCR engine to convert a Handwritten Arabic document image into well-structured data.
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Updated
Jul 22, 2024 - Python
Solution based on Text Detection with Differentiable Binarization and Adaptive Scale Fusion method and CNN-BLSTM-CTC OCR engine to convert a Handwritten Arabic document image into well-structured data.
This repo contains Comprehensive notes covering various machine learning concepts, algorithms, and applications, providing a structured resource for both beginners and experienced practitioners to deepen their understanding and proficiency in the field.
Handwritten ray tracer with clean and well-annotated C++ implementation
Here is the project of my expiremental font CEF Fonts Arabic. CEF Fonts 实验性手写风格阿拉伯语字体
A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.
Recognition of handwritten flowcharts using convolutional neural networks to generate C source code and reconstructed digital flowchart.
This repository hosts a project that aims to tackle the issue of plagiarism in handwritten submissions. The system developed based on Multi-level detection using the combination of digital pattern analysis and text content comparison to detect potential instances of plagiarism.
A Web application to convert typed text into a handwritten text on a page.
Ground truth for various Parisian notary's repertoires (French 19th and 20th century)
Lectaurep-Mariages-et-Divorces, ground truth for the Registres des Contrats de Mariages et des Séparations et Divorces (French 19th century)
Lectaurep-Bronod, ground truth for Maitre Bronod's documents (French 18th century)
A handwritten font / 手書きフォント
The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with many different classifier model
I am providing Python handwritten notes. Written by me.
Space efficient, time efficient, web-based note taking app with real time collaboration.
Convert typed text to realistic handwriting!
Yet another Lua lexer and Lua parser for Lua 5.3 written in pure Rust.
📄 ✒️ Templates that I use in meetings/lectures to keep my handwritten notes organized.
Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.
🏔 个人博客,记录前端一些 有深度/有价值/有意思 的东西
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