Biometric techniques are gaining importance for personal authentication and identification as compared to the traditional authentication methods. Biometric templates are vulnerable to variety of attacks due to their inherent nature. When a person’s biometric is compromised his identity is lost. In contrast to password, biometric is not revocable. Therefore, providing security to the stored biom...

Recent advances in biometric recognition and the increasing use of biometric data prompt significant privacy challenges associated with the possible misuse, loss or theft, of biometric data. Biometric matching is often performed by two mutually suspicious parties, one of which holds one biometric image while the other owns a possibly large biometric collection. Due to privacy and liability cons...

An Automated Multimodal Face Recognition System Based on Fusion of Face and Ear Lorenzo Luciano This thesis presents an automated system for the detection and recognition of humans using a multimodal approach. Face recognition is a biometric method which has in recent years become more relevant and needed. With heavy research, it is achieving respectable recognition rates and is becoming more m...

Authentication of users is an essential and difficult to achieve in all systems. Shared secrets like Personal Identification Numbers (PIN) or Passwords and key devices such as Smart cards are not presently sufficient in few situations. The biometric improves the capability to recognize the persons. A biometric identification system is an automatic recognition system that recognizes a person bas...

In this work the application of adaptive Bloom filters to binary iris biometric feature vectors, i.e. iris-codes, is proposed. Bloom filters, which have been established as a powerful tool in various fields of computer science, are applied in order to transform iris-codes to a rotation-invariant feature representation. Properties of the proposed Bloom filter-based transform concurrently enable ...

The biometric identification of individuals has many safety and security applications in several fields of major interest. This can range from healthcare to commerce and from defense to banking systems. Current biometric technologies are hardly suitable for remote online massive use. This paper presents an innovative approach to design advanced biometric systems for personal identification, rec...

This paper proposes a biometric system based on features extracted from the thyroid tissue accessed through 2D ultrasound. Tissue echo-morphology, which accounts for the intensity (echogenicity), texture and structure has started to be used as a relevant parameter in a clinical setting. In this paper, features related to texture, morphology and tissue reflectivity are extracted from the ultraso...

1 The performance of traditional biometric identification systems is as yet unsatisfactory in certain 2 fields of application. For this reason other physiological or behavioral characteristics are recently be3 ing considered, using new electrical or physical signals linked to a person’s vital signs. This paper 4 examines the biometric characteristics of PCG (PhonoCardioGram) signals from cardia...

In this paper, we consider the problem of authentication of biometric identification documents via mobile devices such as mobile phones or PDAs. We assume that the biometric identification document holds biometric data (e.g., face or fingerprint) in the form of an image and personal data in the form of text, both being printed directly onto the identification document. The proposed solution mak...

We introduce a new interpretation for the biometric enrollment and identification paradigms and show how the problem of multiple hypothesis testing (HT) for arbitrarily varying sources (AVS) in a special case relates to it. The traditional studies on biometric systems from communication perspectives assume the noisy channel model. If suppose that the process of the biometric data enrollment for...