Image Text Segmentation using FAST corner detection and DBSCAN clustering with k-d tree data structure
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Updated
Feb 27, 2019 - JavaScript
Image Text Segmentation using FAST corner detection and DBSCAN clustering with k-d tree data structure
An automatic vehicle number plate recognition using Opencv and Tesseract-OCR
Android text recognition application
含有矫正网络的文字识别模型,主要适用于场景文字识别。The character recognition model with rectification network is mainly designed for scene character recognition.
Extract characters (letters, symbols, numbers, words, sentences), display them in a list and store what you want to your clipboard
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Android application that allows users to scan and open weblinks, call phone numbers, save business cards, real-time translation, web search and clipboard functionalities using their device camera.
A simple app builds in Flutter which identifies TEXT. This project is integrated with Firebase's ML Kit.
C# implementation of Tesseract optical character recognition with pre-recongizing image processing and translation
Python implementation of Text-Image-Augmentation
Android application for link recognition on images and photos
AWS Textract Run on Local File
translate text over other applications
Barcode and Text Recognition using Google Vision API
Implementing Google ML Kit APIs and Stanford CoreNLP NER in an Android mobile application
Open Models For Document Intelligence
Searching a High Performance Feature Extractor for Text Recognition Network. TPAMI 2022
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