TY  - JOUR
TI  - Text Recognition from Document Images
AU  - Revanth Yenugudhati
AU  -  Suresh Babu Papanaboina
AU  -  Suryatej Vasireddy
AU  -  Yaswanth Seelam
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2019/03/30
PY  - 2019
DO  - https://doi.org/10.32628/CSEIT1951152
UR  - https://ijsrcseit.com/CSEIT1951152
VL  - 5
IS  - 2
SP  - 75	
EP  - 79
AB  - 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.