ML based Implementation for Documents Forensic and Prediction of Forgery using Computer Vision Framework
Sreenivas Pratapagiri, Sujatha Madugula, Siripuri Kiran, V. Chandra Shekhar Rao, S. Venkatramulu, M. S. B. Phridviraj · 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) · 2022
Facial Recognition, Biometric Verification, Internet of Things (IoT), Criminal Investigation, Signature Identification in banking are just a few of the fields benefiting from breakthroughs in Computer Vision and Optical Image Processing right now. These applications prepare for dealing with numerous applications for breaking down and determining through the use of images and live video. There are several workouts that make use of computer vision, including checking, face recognition, movement recognition, and object placement. Due to advances in long-distance informal communication stages such as Facebook and Instagram, the amount of picture data being generated has increased. Image and video manipulation software usage poses a huge risk to Facebook because of the manipulated images that users submit to their social network. These sorts of pictures are habitually referred to as phony and utilized in noxious ways like rousing viciousness and passing. Need to confirm the sketchy pictures before make a move. It is extremely difficult to guarantee photograph validness because of the force of photograph controls. Picture arrangement can be dictated by picture measurable strategies. The strategy of picture duplication is utilized to hide missing regions.