Abstract:
The aim and objective of this project is to develop text classification algorithms to
identify the text of four subjects of ll/12th grade. This report explores different
techniques used for the classification of text. Various stages including picture
preparing like the pre-handling stage, division, and highlight extraction will be
examined and talked about.Finally, the end product ofthe algorithms will be written
in the software called jupyter notebook by using the languages called python,
TensorFlow.
This project uses the Artificial Neural Network technique to develop the software.
The main advantage of using this technique is that it provides features extraction and
detection that is suitable for text recognition. Different models ofthe neural network
are discussed
Recommendations for future development and conclusions are also included in the
report.
