✍️🇯🇵 Predicting handwritten Japanese characters with OCR 🈳

Optiic is an advanced text and image recognition API.

Project9: Character Recognition (Input an image, Print single digits one-by-one)

License Plate Character Detection Model

Linear Algebra Final Project: Character Recognition with Linear Algebra

Artificial Neural Network Projects

Dynamsoft Label Recognizer (DLR) is an SDK designed to recognize meaningful zonal text or symbols in an image (Label). Common scenarios include price tags in supermarkets, inventory labels in warehouses, VIN codes on car windshields, driver licenses, passports, visas, ID cards, etc.

EasyOCR is basically Optical Character Reading package that belongs from PyTorch. Using this texts from the images can be extracted easily, documents, texts can be scanned. For License Plate's Number Recognition, it can be applicable easily as it can extract the texts. About License Plate's Number, there are several language's character plates a…

PPT OCR Data of 8 Languages

OCR Dataset in Natural Scenes

English OCR Dataset in Natural Scenes

Handwriting OCR Data of Japanese and Korean

Handwriting Data of Traditional Chinese Characters

Natural Scenes OCR Data of 12 Languages

Vietnamese OCR Images Dataset

Hindi OCR Images Dataset

A.K.A. NUS ME5411 Final Project. Implemented a CNN framework without off-the-shelf libraries and its application for character recognition.

In this repository, I implement a Hopfield neural network for Character Recognition.

Character set detector build in C# - .NET 5+, .NET Core 2+, .NET standard 1+ & .NET 4+