FYP 2016-17

Applying OCR Technology for Receipt Recognition

Creating a mobile optical character recognition using the client-server architecture

Optical character recognition applied on receipts printed in Macedonian Language

Optical character recognition that makes use of the tesseract library

Performance Comparison of SVM and K-NN for Oriya Character Recognition

Comparing the accuracy of SVM and K-NN for optical character recognition

Implementing a CNN for text classification in Tensorflow

Using Google's open-source Deep Learning framework for text classification