Experimental app for optical character recognition on Android
-
Updated
Sep 6, 2016 - Java
Experimental app for optical character recognition on Android
A mobile app that uses a modern OCR algorithm to identify a book's title through the cover and provide feedback and suggestions to the users.
Invotract: Invoice Extractor. Extract some known fields of PDF-scanned invoices such as organization name, date, invoice amount, using machine learning approach.
Get the information of object based on image recognition using TensorFlow.
Android App for English Handwritten Text Recognition
This is an implementation of embedding and extracting a digital watermark in a PDF document. The code uses an LDPC code, a Hadamard code, and multiple sequence alignment to increase robustness.
CamWord Is an android application that uses character recognition and voice recognition to identify a word and then translate or provide definition according to user’s choice. CamWord was developed using Google’s Open Source Tesseract Engine for Optical Character Recognition and Google’s Speech API for Voice Recognition.
Android app that helps you never forget about taking your medications on time
Experimental optical character recognition app
Final project for my csc780 class
Data generation tool for optical character recognition
Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
Experimental Java program for locating, grading, and classifying AlphaNumeric characters in JPG or PNG images as efficiently as possible.
Optical Character Recognition program
This Android App recognises handwritten(Hindi) text from Canvas or Drawing pad.
Optical Character Recognition app which converts the text present in the image to raw, editable text
Handwriting recognition using several algorithms - NN,KNN, and neural networks (with back propogation)
Simple Mobile App for License Plate Recognition.
Add a description, image, and links to the optical-character-recognition topic page so that developers can more easily learn about it.
To associate your repository with the optical-character-recognition topic, visit your repo's landing page and select "manage topics."