Open AccessText Recognition from Document Images
Author(s) -
Revanth Yenugudhati,
Suresh Babu Papanaboina,
Suryatej Vasireddy,
Yaswanth Seelam
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1951152
Subject(s) - computer science , reading (process) , optical character recognition , character (mathematics) , variety (cybernetics) , field (mathematics) , software , intelligent character recognition , artificial intelligence , meaning (existential) , document processing , dream , natural language processing , character recognition , image (mathematics) , linguistics , programming language , psychology , philosophy , geometry , mathematics , neuroscience , pure mathematics , psychotherapist , biology
The objective is the development of effective reading skills in machines. After reading the text and comprehending the meaning, it would know itself and according to the program, it would implement the instructions. The current investigation presents an algorithm and software which detects, recognizes text and character with specific protocol in a image and programs itself according to the text. Technological advances in image processing have acquainted us with character recognition and many such related technologies, which have proved to be a milestone. However, even years after the invention of these technologies we have not been able to achieve a technology by which machine can read, interpret and act according to the instructions and even update their database if required. Here’s an attempt to make this reality. Machine replication of human functions, like reading, is a long-awaited dream. However, over the last five decades, machine reading has transformed from a dream to reality. Text detection and character recognition known as Optical Character Recognition (OCR) has become one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. Numerous commercial systems for OCR exist for a variety of applications