INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Hybrid Fake Banknote Detection Model using OCR, Face Recognition and Hough Feature
Authors Name:
Prof. Shital S. Aher
, Bachhav Prerana Sudam , Gunjal Vaishanvi Ashok , Dhone Vaibhav Shivaji , Yewale Mayur Sakhahari
Unique Id:
IJSDR2211178
Published In:
Volume 7 Issue 11, November-2022
Abstract:
In this paper, the programmed framework is intended for ID of Indian cash notes and check whether it is phony or unique. The programmed framework is extremely valuable in banking framework and other field too. In India expansion in the fake money notes of 100, 500 and 1000 rupees. As expansion in the innovation like filtering, variety printing and copying due to that there is expansion in fake issue. In this paper, acknowledgment of phony Indian cash notes is finished by utilizing picture handling method. In this paper, acknowledgment of phony Indian money notes is finished by utilizing picture handling strategy. In this strategy first the picture obtaining is finished and applies preprocessing to the picture. In pre-handling harvest, smooth and change then, at that point, convert the picture into dim variety after change apply the picture division then, at that point, separate elements and diminish, at last looking at picture.
"A Hybrid Fake Banknote Detection Model using OCR, Face Recognition and Hough Feature", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.1203 - 1206, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211178.pdf
Downloads:
000337209
Publication Details:
Published Paper ID: IJSDR2211178
Registration ID:202856
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 1203 - 1206
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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