TY - JOUR
T1 - Image Processing based Heuristic Analysis for Enhanced Currency Recognition
AU - Reel, Parminder Singh
AU - Krishan, Gopal
AU - Kotwal, Smarti
PY - 2011
Y1 - 2011
N2 - A successful approach for currency recognition depends upon feature extraction of that currency image. This paper represents the heuristic analysis of characters and digits of serial number of Indian currency notes to recognition of currency notes. To recognize a character from a given currency image, there is a need to extract feature descriptors of such image. As an extraction method significantly affects the quality of whole OCR process, it is very important to extract features, which will be invariant towards the various light conditions, used font type and deformations of characters caused by a skew of the image. Heuristic analysis of characters is done for this purpose to get the accurate features of characters before feature extraction in currency recognition.
AB - A successful approach for currency recognition depends upon feature extraction of that currency image. This paper represents the heuristic analysis of characters and digits of serial number of Indian currency notes to recognition of currency notes. To recognize a character from a given currency image, there is a need to extract feature descriptors of such image. As an extraction method significantly affects the quality of whole OCR process, it is very important to extract features, which will be invariant towards the various light conditions, used font type and deformations of characters caused by a skew of the image. Heuristic analysis of characters is done for this purpose to get the accurate features of characters before feature extraction in currency recognition.
UR - https://www.longdom.org/international-journal-of-advancements-in-technology.html
M3 - Article
VL - 2
SP - 82
EP - 89
JO - International Journal of Advancements in Technology
JF - International Journal of Advancements in Technology
IS - 1
ER -