Published Paper Details:

Technology is developing at a rapid rate, and many security problems are emerging along with it. One of the biggest problems with biometrics recognition technologies is that the system has numerous security flaws, and morph face attacks are becoming more frequent nowadays. Several authors offered different approaches to the problem in different sectors using different procedures. The "detection equal ratio," or comparing the genuine image with the morphing image, is one of the most important operations. The "CNN" method, which is used for segmentation and feature extraction, is the major algorithm the authors have used. The report also contrasts the numerous research techniques employed by the writers to discover the modified facial image and it's For this issue, the various authors provided various solutions in various fields with various processes. in the most significant processes were taking the "detection equal ratio," or comparing the bona fide image and morphed image. the main algorithm used by the authors was CNN, which is used for segmentation and feature extraction. further, the paper compares the various research methods used by the authors to find out the morphed face image and its detection ratio