• Vadivelu
• Maithili Jha
• S.Maitri
• Lohithdakshan

Digital images play a major role in the digital sector, but image counterfeiting is a developing worry that threatens the legitimacy of data. Digital photographs were intended to increase accessibility and efficiency, however some users have misused the system. Although there are conventional techniques for identifying phony photographs, more sophisticated methods are needed due to the rising incidence of image counterfeiting. Although OpenCV and MD5-based techniques have improved the detection of picture fraud, they are not as effective in identifying all forms of fraud. Efficiency must therefore be developed and enhanced.

"Image forgery detection using open-cv and md5", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.f518-f522, December-2023, Available :http://www.jetir.org/papers/JETIR2312562.pdf

"Image forgery detection using open-cv and md5", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppf518-f522, December-2023, Available at : http://www.jetir.org/papers/JETIR2312562.pdf