Dhruv Gupta

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The classical fingerprint recognition system can be compromised at the database and the sensor. Therefore, to beef up security of the fingerprint recognition system, reversible watermarking is proposed to protect these two points. Reversible watermarks thwart manipulations, $${viz}$$ v i z ., copy and replay attacks and ensure that native fingerprint(More)
In this work, authors propose a novel scheme with commutative encryption and reversible watermarking for a fingerprint image. Due to commutative property one can embed and extract watermark in either plain or encrypted fingerprint image, irrespective of order in which encryption or watermarking is applied. The encryption and the watermarking keys are shared(More)
In developing countries, night driving is extremely unsafe mainly due to; 1). Poorly followed traffic rules and 2) bad road conditions. The number of accidents is increasing at a frightening pace, necessitating the development of a low cost automatic headlight control system to ensure safety. In most accident cases, fatal collisions take place due to glare(More)
A fragile watermark provides an effective solution to ascertain the integrity of an image. However, security of the watermark is endangered during transmission through an unsecured network. This paper aims to secure watermark by applying fuzzy model based invertible transformation to the cover image after embedding visual watermark into it. The controlled(More)
  • Pulkit Sapra, Ankit Kumar Parsurampuria, +4 authors Vinit Darda
  • 2015
Refreshable Braille Display (RBD) is a device that enables people with visual imparity to read digital text through tactile interface. Braille literacy is essential for empowerment of visually impaired people and offers several advantages over auditory aids. Commercially available RBDs have not been able to penetrate the market due to their high cost. Shape(More)
In this paper, a novel watermarking scheme is proposed for super-resolved images. All watermarking methods reduce PSNR of a host signal, while the proposed algorithm increases it. The singular values (SV) derived from edges of the low resolution (LR) image forms the image dependent watermark. Next we obtain linear measurements of the watermark using a(More)
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