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.
(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”
Evaluation of different machine learning models on the task of online handwritten character recognition
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
Virtual Pen + Recognition of handwritten digits
Handwritten text recognition using CNN with EMNIST dataset
Recognize the handwritten digits online with FCNet which is powered by MNIST dataset 😄
MNIST like dataset creation tool for Handwritten Text Recognition.
Collect handwritten characters for classification.
Fundamentals of Machine Learning (EEL5840) final project.
Handwritten Urdu Character Recognition in Machine Learning using Scikit-learn
Visualizing fully connected neural networks
Character recognition task: classification of handwritten numerals
Handwritten hiragana recognition software
Solving the Character recognition problem as an SVM optimization problem using CVXOPT
Using CNN(Keras) and Image Augmentation techniques to classify a given set of handwritten Devnagari characters
객체 인식과 OCR을 활용한 객관·단답식 시험지 채점 AI 소프트웨어 (Yolov8, EasyOCR, tamil-ocr used)
A Flask web app for handwriting digit and character recognition using machine learning
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