Sowmya K. N.

Work place: Department of ISE, JSS Academy of Technical Education, Bangalore, Karnataka, India



Research Interests: Computational Learning Theory, Image Compression, Image Manipulation, Image Processing


Dr. Sowmya received her doctoral degree in “Faculty of computer and Information Sciences” in the year 2020 from Visvesvaraya Technological University, Belgaum,  Karnataka, India. She is working as an Assistant professor in the Department of Information Science and Engineering at JSS Academy of Technical Education, Bangalore affiliated to Visvesvaraya technological university. Her area of research includes Video and Image Processing, Image Forensics, Video forensics & Machine learning.

Author Articles
Image Hashing Through Spatio-triad Relationship

By Sowmya K. N. H. R. Chennamma

DOI:, Pub. Date: 8 Oct. 2022

Authenticating the content of the digital image has profound influence in legal matters and in court rooms. Image forensics plays an important role towards it. Proposed approach helps to authenticate the original image by generating a content based image signature that is a unique fingerprint for the image. Our novel approach establishes spatio triad relationship among features and finds the centre of gravity or centroid of the same after indexing. Topology of the triad relationship for the content based low level feature descriptors is preserved through aggregation until single key feature is deduced which is a 128 bit signature hash value and represented in decimal form. Density of feature keypoints influences the centre of gravity which acts as a unique signature for the given image. Manipulated image cannot contribute to restore / regenerate the same signature. We have verified our authentication approach for standard benchmark image dataset like MICC-F220, Columbia Image Splicing Evaluation dataset and Image manipulation dataset from Friedrich Alexander University and have found satisfactory results for the same. Content based image signature obtained is used to verify authenticity of image and for retrieval of video from database. Content based image fingerprint generated can also be considered for embedding as a watermark.

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