🖼️ Image Toolbox is an powerful picture editor, which can crop, apply filters, add some drawing, erase background, edit EXIF or even create PDF file
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Updated
May 31, 2024 - Kotlin
🖼️ Image Toolbox is an powerful picture editor, which can crop, apply filters, add some drawing, erase background, edit EXIF or even create PDF file
img2txt Android app
Example codes about how to use Veryfi Lens SDKs
Project provides basic idea and approach to implement the Recognizing Text in Images by using apple provided framwork Visson.
Tesseract based OCR for android
This repository will give you an idea how machine learning algorithms do work under the hood.
The Campus Eye Graduation Project aims to improve security at PSUT campus, by automating the verification of student IDs at entrances and controlling car access with computer vision and image processing techniques. Additionally, it assists lecturers in automating attendance taking process.
OCR stands for optical character recognition. It is also known as an optical character reader (OCR) or text recognition.
Virtual patient-doctor connections via video calls, with additional chatbot and AI doctor interaction options. Patients can conveniently upload reports for OCR-based summarization.
Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.
Octus SDK uses advanced deep learning technologies for accurate and fast Document/ID scanning and OCR
[LREC-COLING 2024] PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents. Boost OCR Performance on Scientific Documents.
A simple OCR Deep Learning Project for license plate code detection using Tensorflow and Keras
A self-hosted, drag-and-drop & nosql file conversion server & share tool that supports 88 file formats in 13 languages.
This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.
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