Abstract
Optical Character Recognition (OCR) has been a topic of interest for many years. It is defined as the process of digitizing a document image into its constituent characters. Despite decades of intense research, developing OCR with capabilities comparable to that of human still remains an open challenge. Due to this challenging nature, researchers from industry and academic circles have directed their attentions towards Optical Character Recognition. Over the last few years, the number of academic laboratories and companies involved in research on Character Recognition has increased dramatically. This research aims at summarizing the research so far done in the field of OCR. It provides an overview of different aspects of OCR and discusses corresponding proposals aimed at resolving issues of OCR.
Existing System
Optical Character Recognition (OCR) has been a subject of enthusiasm for a long time. It is characterized as the procedure of digitizing a record picture into its constituent characters. In spite of many years of exceptional research, creating OCR with abilities tantamount to that of human despite everything stays an open test. Because of this difficult nature, specialists from industry and scholastic circles have coordinated their considerations towards Optical Character Recognition. Over the most recent couple of years, the quantity of scholastic research centres and organizations engaged with explore on Character Recognition has expanded significantly.
Proposed System
This exploration targets outlining the examination so far done in the field of OCR. It gives an outline of various parts of OCR and examines relating proposition planned for settling issues of OCR.
SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10
HARDWARE REQUIREMENTS:
Processor : Core I3
RAM Capacity : 2 GB
Hard Disk : 250 GB
Monitor : 15″ Color
Mouse : 2 or 3 Button Mouse
Key Board : Windows 08/10
