The reliance on Online Social Networks (OSN) for both formal and informal social interactions has dramatically changed the way people communicate. In this paper, a novel Behavioral Biometric (SBB), human micro-expression, is introduced person identification. An emotion detection model developed to extract probability scores from person’s writing samples posted Twitter. corresponding emotion-pro...

Multi-modal biometric fusion is more accurate and reliable compared to recognition using a single biometric modality. However, most existing fusion approaches neglect the influence of the qualities of the biometric samples in information fusion. Our goal is to advance the state-of-the-art in biometric fusion technology by providing a more universal and more accurate solution for personal identi...

Biometrics is becoming an important method for human identification. However, once a biometric pattern is stolen, the user will quickly run out of alternatives and all the applications where the associated biometric pattern is used become insecure. Cancelable biometrics is a solution. However, traditional cancelable biometric methods treat the transformation process and feature extraction proce...

Radio Frequency Identification (RFID) and biometric technologies saw fast evolutions during the last years and which are used in several applications, such as access control. Among important characteristics in the RFID tags, we mention the limitation of resources (memory, energy, ...). Our work focuses on the design of a RFID authentication protocol which uses biometric data and which confirms ...

Humans recognize each other according to their various characteristics for ages. We recognize others by their face when we meet them and by their voice as we speak to them. Identity verification (authentication) in computer systems has been traditionally based on something that one has (key, magnetic or chip card) or one knows (PIN, password). Things like keys or cards, however, tend to get sto...

In this paper we present a new approach for biometric template protection. Our objective is to build a preliminary non-invertible transformation approach, based on random projection, which meets the requirements of revocability, diversity, security and performance. We use the chaotic behavior of logistic map to build the projection vectors using a new technique that makes the construction of th...

This paper investigates the use of facial gestures for identity recognition. This is the first time that such a quantitative evaluation is conducted, comparing the analyses of 2D versus 3D dynamic data of verbal and nonverbal facial actions. Suitable data processing and feature extraction methods are examined, then a number of pattern matching techniques including the Fréchet distance, Correlat...

Biometrics make human identification possible with a sample of a bio-metric trait and an associated database. Classical identification tech-niques lead to privacy concerns. This paper introduces a new method toidentify someone using his biometrics in an encrypted way.Our construction combines Bloom Filters with Storage and Locality-Sensitive Hashing. We apply this error-...

Fingerprints are the most widely used biometric feature for person identification and verification in the field of biometric identification. Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) global ridge and furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details a...

Biometric and identification patterns have gained extensive research application, particularly in iris recognition. The harbors a wealth of individual-specific information, making it vital element biometric authentication. This article presents comprehensive study encompassing segmentation identification. We introduce the Weighted Adaptive Hough Ellipsopolar Transform Convolutional Neural Netwo...