• Raghuvamsh Chavali

PHOTOGRAPHY & BIOMETRICS


Due to evolution in technology, photography has come up with latest equipment, which is indeed driving people more passionate towards it. With this, the ease to capture crystal clear images is escalating exponentially and I believe that every photograph captured portrays innovation, involving the talent and creativity of the photographer.


On the other way around, the ownership of the image is creating a massive hindrance in protecting these images from being manipulated and its a great challenge for every photographer to prove his authentication on the image captured. During my photographic explorations there were certain situations which were mind boggling, when the photographers have compromised on their clicks for losing the data and being victims to photo manipulations.


Contemplating such scenarios and mining through various thoughts, I wanted to integrate a mechanism which protects and produces every click at a microscopic level as a unique output that prevents manipulation. Collating these interpretations I have come up with a project that identifies the Human Bio-Metrics that as a form of identification and access control, that acts as a source of information and stores the same as the unique identity in the metadata of the photograph.


Almost any entity in this world can be represented digitally, ranging from simple text to complex multimedia work. Now, the challenge is to claim the ownership and prevent theft of one’s own digital data. Multimedia theft has driven the attention of many stakeholders who spend huge money and precious time in creating or making such valuable digital data. Among all the multimedia entities, image files are more vulnerable for theft since it is the basic component of any visuals. The prototype is planned to be designed with complex algorithms for future equipment to produce an image or film on any light-sensitive material that is made visible and eternally stored in a digital modus.


The notion of this research work is to propose an image theft detection model which will determine whether partial theft or complete theft of an image has occurred or not. A biometric feature, i.e., fingerprint of the owner is embedded on the digital image at a micro level, such that even a very small portion of image theft can be determined, and the ownership of the image can be claimed by the owner.

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