VIDEO IMAGE IDENTIFICATION AND VERIFICATION USING PRELIMINARY SCORE APPROACH FOR AUTHENTICATION AND SECURITY ENHANCEMENT

Image is one of the identities of a person, which reflects their emotions, feelings, age, etc. It helps gather information about a person without knowing their name, caste, or age. This may not be of much importance when used for domestic or framing applications. However, when images are involved in multimedia, privacy becomes a major concern for everyone. Everyone wants to receive the original image without it being tampered with by unauthorized individuals. Image authentication has gained much attention due to its wide usage in multimedia and various applications. The non-secure transmission of digital images over channels is increasing globally day by day through computer networks, making the authentication of each image a challenging task. Therefore, defense, space, medical, and quality measurement images must be secured against wrongful manipulation or changes to the original image. To ensure the authenticity of multimedia pictures, various methods have been proposed, including digital signatures, watermarking, cryptography, and fragility based on image contents. The objective of this chapter is to identify and verify real-time video images using a preliminary score approach. This approach helps to assess the authenticity of an image at an initial stage by extracting features, evaluating them using the Viterbi algorithm, and converting the input image into an embedded state. The achieved matrix is then transformed, and based on this, a preliminary score estimation is generated after multiple iterations for each image. Finally, the tested image is verified using the aforementioned approaches to protect and provide security to the original image. This approach can be useful in various surveillance applications for real-time image identification and verification. © 2025 by Apple Academic Press, Inc.