Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/70999
Título: Perspective Approach for Security of Biometric Image
Autores/as: Singh, Astha
Kumar, Ankit
Dutta, Malay Kishore
Travieso González, Carlos Manuel 
Esteban-Hernández, Luis
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: Fingerprint Feature Point Extraction
Palm-Print
Singular Value Decomposition (Svd) Algorithm
Watermarking
Fecha de publicación: 2020
Editor/a: Association for Computing Machinery 
Conferencia: International Conference on Applications of Intelligent Systems (APPIS 2020) 
Resumen: The commonplace generation of the digital patterns by the classic watermarking approach has some visible constraints. This paper proposes a significant way to generate a watermarked image using a multimodal biometric system in which a fingerprint and a palm-print biometric of a user has chosen. The generation of a digitally watermarked image is done by using features of both the biometric which has been logically combined to satisfy ownership and is robust indeed. This paper efficaciously resolves the ownership conflict of the host data. The fingerprint biometric image of a user is taken as the host data and its digital watermarked image is fabricated by embedding the palm-print of the same user, which ensures the user's ownership stamp by satisfying the dual authentication. Created watermarked image has been scrutinized through a study for its uniqueness and recognition accuracy. The approach of the proposed algorithm is to make the watermarked data reliably invulnerable while dispersing it in the shared database. Singular value decomposition (SVD) algorithm has been practiced to inculcate the palm-print watermark in the fingerprint image. Outcomes of experimentations evince that the watermarked data is qualified to endure the triggered image processing attack and keep the perceptual properties of data unvaried. The achievement of this work is its rate of perceptual transparency and robustness of the watermarked image.
URI: http://hdl.handle.net/10553/70999
ISBN: 978-1-4503-7630-3
DOI: 10.1145/3378184.3378216
Fuente: APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria Spain January, 2020
Colección:Actas de congresos
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