Securing recognized multimodal biometric images using cryptographic model

Evangelin, L. Nisha; Fred, A. Lenin

doi:10.1007/s11042-021-10541-8

Cited by 9 publications

(1 citation statement)

References 39 publications

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“…Evangelin and Fred [9] have proposed a novel methodology to validate the multimodal biometric images based on ECC and VSC cryptographic methods. The ECC-based OCSO system has been used to enhance the key, which chooses the minimum error rate and extreme PSNR.…”

Section: Literature Surveymentioning

confidence: 99%

A Finger Vein Security System Using DNA Encryption, LSB Data Hiding and Image Scrambling

Wagh¹,

S²,

N³

2023

Artificial Intelligence and Communication Technologies

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Finger vein technology is a secure biometric solution, reliable and non-invasive that provides authentication from fast and highly accurate identity to access data or secure areas. The personal information security in cyberspace has gradually become an important topic nowadays, and biometric identification technology has emerged as the times require. Finger vein authenticated person information security is another prominent problem in the research area. So, by combining the information security and finger vein image security will improve the security of the whole system. This paper proposes a finger vein image security system using DNA encryption, image scrambling with LSB steganography technique. The secret data of the user is first encrypted using DNA encryption. LSB data hiding is used to hide this encrypted secret data in the finger vein image. This method consists of replacing the least significant bit, the last bit of each byte, of the pixels of an image with the bits of the information to be hidden. The security of the user is given importance by encrypting the details and then hiding the information. The stego image is then encrypted using image scrambling technique. To match a user’s vein, the image is descrambled and then compared to the finger vein based on the data extracted from the image. The proposed model provides security to the user information as well as the finger vein image.

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Section: Literature Surveymentioning

confidence: 99%