A Hybrid Fake Banknote Detection Model using OCR, Face Recognition and Hough Feature
Prof. Shital S. Aher
, Bachhav Prerana Sudam , Gunjal Vaishanvi Ashok , Dhone Vaibhav Shivaji , Yewale Mayur Sakhahari
Fake currency, counterfeit detection, image processing, feature extraction
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", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.1203 - 1206, November-2022, Available :https://ijsdr.org/papers/IJSDR2211178.pdf
Volume 7
Issue 11,
November-2022
Pages : 1203 - 1206
Paper Reg. ID: IJSDR_202856
Published Paper Id: IJSDR2211178
Downloads: 000347214
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
