Multibiometric systems are being increasingly deployed in many large scale biometric applications (e.g., FBIIAFIS, UIDAI system in India) because they have several advantages such as lower error rates and larger population coverage compared to unibiometric systems. However, multibiometric systems require storage of multiple biometric templates (e.g., fingerprint, iris, and face) for each user, ...

Biometric signatures, or biometrics, are used to identify individuals by measuring certain unique physical and behavioral characteristics. Individuals must be identified to allow or prohibit access to secure areas—or to enable them to use personal digital devices such as, computer, personal digital assistant (PDA), or mobile phone. Virtually all biometric methods are implemented using the follo...

Biometric signatures, or biometrics, are used to identify individuals by measuring certain unique physical and behavioral characteristics. Individuals must be identified to allow or prohibit access to secure areas—or to enable them to use personal digital devices such as, computer, personal digital assistant (PDA), or mobile phone. Virtually all biometric methods are implemented using the follo...

Bimodal biometric used to authenticate a person is more accurate compared to single biometric trait. In this paper we propose Feature Level Fusion based Bimodal Biometric using Transformation Domine Techniques (FLFBBT). The algorithm uses two physiological traits viz., Fingerprint and Face to identify a person. The Region of Interest (ROI) of fingerprint is obtained using preprocessing. The fea...

The main aim of biometric-based identification systems is to automatically recognize individuals based on their physiological and/or behavioural characteristics such as fingerprint, face, hand-geometry, among others. These systems offer several advantages over traditional forms of identity protection. However, there are still some important aspects that need to be addressed in these systems. Th...

Multimodal biometric can overcome the limitation possessed by single biometric trait and give better classification accuracy. The present work proposes an authentication system with the fingerprint, face and iris multimodal biometric system based on fusion at the feature level. The performances of fingerprint, face and iris recognition can be enhanced using a proposed feature selection method t...

Use of biometrics for person identification has increased tremendously over the past decade, e.g., in large scale national identification programs, for law enforcement and border control applications, and social welfare initiatives. For such large scale applications with a diverse target population, unimodal biometric systems, which use a single biometric trait (e.g., fingerprints), are inadequ...

This paper proposes a novel authentication system using hidden biometric trait called finger vein (FV). Proposed finger vein acquisition device captures the superficial vein pattern present under the skin of finger. The vein pattern of all fingers of human being is not same. Each finger of same person has different vein pattern. It is the hidden part which is not seen by normal eye sight hence ...

A recent emphasis on security has resulted in increased research attention being offered to the field of individual identification based on “biometrics”. A biometric feature is an inherent physical or behavioural trait that is unique among individuals. Easily acquired biometric features include fingerprints, gait, facial features, and voice. In addition to these, the human iris can also be cons...

With the expanded use of biometric systems, the security of biometric trait is becoming increasingly important. When biometric images are transmitted through insecure channels or stored as a raw data, they become subject to the risk of being stolen, faked and attacked. Hence, it is imperative that robust and reliable means of protection are implemented. Various methods of data protection are av...