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A Prototype for Image Tamper Detection with Self-generated Verification Code Using Gödelization

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 78))

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Abstract

Smart gadgets like mobile phones, camcorders, handy digicams, and the availability of sophisticated photo editing tools have eased the process of forgeries in this digital era. The forged digital images are increasing at a rapid rate and so are the legal issues attached with them. As the technology is increasing, the methods adopted for creating digital forgeries and cyber crimes are posing a great threat to the security, integrity, and authenticity. Several researchers have proposed many techniques for detecting and identifying such illegal issues like image tampering, image forgery. The paper addresses this problem of image tamper detection by embedding a unique verification code generated from the image using Gödelization technique which acts as in-camera fingerprint of the image. It works for color images. This is a very simple method to implement which needs very low computation and memory space.

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Raja Mani, P., Lalitha Bhaskari, D. (2018). A Prototype for Image Tamper Detection with Self-generated Verification Code Using Gödelization. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 78. Springer, Singapore. https://doi.org/10.1007/978-981-10-5547-8_23

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  • DOI: https://doi.org/10.1007/978-981-10-5547-8_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5546-1

  • Online ISBN: 978-981-10-5547-8

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