HANDWRITTEN ALPHABET RECOGNITION
In this project, Image processing combined with Machine learning is used to develop a system which will be useful to identify different types of handwritten text, this implementation can be used to automate the process of manual entry.
Project Team members
ROHAN REDDY KAR
DUSHYANTH GORATI
ADITYA KAMAT
YELLA JIGNAS SAI NAGA
Project Details
- DATE: 2022-10-20
- Team : 21AAC56
- Domain: project
Project Description
An OCR is a wide field of research in recognizing patterns, it is one the most
important study and area of interest in computer vision and artificial intelligence.It which converts scanned images of documents into searchable text.
Till now all the solutions available for OCR is for printed text even if there is some system
available for handwritten text the accuracy is very low.Handwriting recognition is an application of pattern recognition through image. By using such concepts, we can train computers to read letters belonging to any language present in an image.
In this project, Image processing combined with Machine learning is used to develop a system which will be useful to identify different types of handwritten text, this implementation can be used to automate the process of manual entry. With proper training and large amounts of data sets this can be improvised further.
