A Fingerprint Biometric Privacy Using Visual Cryptography

نویسندگان

  • M. Suganya
  • Dr. S. Suganya
چکیده

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract-Biometric authentication systems are gaining widespread popularity in recent years due to the advances in sensor technologies as well as improvements in the matching algorithms. Preserving the privacy of digital biometric data stored in a central database has become of paramount importance. VCS is a cryptographic technique that allows for the encryption of visual information such that decryption can be performed using the human visual system. There are various measures on which performance of visual cryptography scheme depends, such as pixel expansion, contrast, security, accuracy, computational complexity, share generated is meaningful or meaningless, type of secret image. This technique encrypts a secret image into shares such that stacking a sufficient number of shares reveals the secret image. The stored images are encrypted and while verification that images are decrypted. This work implements visual cryptography for color images in a biometric application. The project modules have a strong authentication and robustness scheme.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Visual Cryptography with Chaotic Encryption for Biometric Templates

Preserving the privacy of digital biometric data (e.g., fingerprint) stored in a central database has become of paramount importance. It demands high speed decryption/encryption process with restricted computational powers. This work explores the possibility of using visual cryptography with chaotic encryption suitable for imparting security to biometric data such as fingerprint images. By usin...

متن کامل

A Novel Retina based Biometric Privacy using Visual Cryptography

Biometrics deal with automated methods of identifying a person or verifying the identity of a person based on physiological or behavioral characteristics. Preserving the biometric privacy such as digital biometric data (eg. face, iris, retina and fingerprint) is very important nowadays. The retinal biometrics is considered one of the most accurate and robust methods of the identity verification...

متن کامل

Biometric Privacy by Visual Cryptography Using Random Grid Method

It is of great importance to preserve the privacy of biometric data stored in the central database server. This paper explores the possibility of using visual cryptography for imparting privacy to biometric data such as f ingerprint images, iris codes, and face images. Visual cryptography is a secret sharing scheme where a secret image is encrypted into the shares which independently disclose n...

متن کامل

A Visual Confidential Sharing Scheme for Multiple Proficient Systems by Cryptograpy without Pixel Extension

Preserving the privacy of digital biometric data (e.g., face images) stored in a central database has become of paramount importance. This work explores the possibility of using visual cryptography for imparting privacy to biometric data such as fingerprint images, iris codes, and face images. In the case of faces, a private face image is dithered into two host face images (known as sheets) tha...

متن کامل

Privacy Protection Schemes for Fingerprint Recognition Systems

The deployment of fingerprint recognition systems has always raised concerns related to personal privacy. A fingerprint is permanently associated with an individual and, generally, it cannot be reset if compromised in one application. Given that fingerprints are not a secret, potential misuses besides personal recognition represent privacy threats and may lead to public distrust. Privacy mechan...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017