TY  - JOUR
T1  - Feature Extraction of Optical Character Recognition Survey from 1980-2010
AU - Marial, A. AU - Jos, Jibraiel 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 3
SP  - 39
EP  - 49
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.39.49
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.39.49
KW  - OCR
KW  -feature extraction
KW  -character acknowledgment
KW  -handwritten
AB  - Optical Character Recognition is still
prevailing even after many decades of implementation.
The challenges faced here are increasing day by day so as
its applications. From Punched cards to Handwritten Text,
from images to video, from uniform font to universal font,
from English text to Global language, from researchers to
visually handicapped are the transformations obtained
from an era of the 1980s to 2010. This study has covered
the advancement of acknowledging the characters, how
are features are extracted, various methodologies used and
more importantly what is the use of OCR.
ER  -