Face recognition (FR) is the most preferred mode for biometric-based surveillance, due to its passive nature of detecting subjects, amongst all different types of biometric traits. FR under surveillance scenario does not give satisfactory performance due to low contrast, noise and poor illumination conditions on probes, as compared to the training samples. A state-of-the-art technology, Deep Le...

Body weight is an important economic trait in the selection of animals. The main purpose of animal breeding practices is to improve traits of economic value (Mendes et al., 2005). These traits have close association with explanatory variables such as age, breed and morphological characters. Body measurements have been used in animals to estimate body weight (Topal and Macit, 2004; Yakubu et al....

Nowadays biometric authentication systems have been more developed, especially in secure and financial systems; so cracking a biometric authentication system is now a growing concern. But their security has not received enough attention. Imitating a biometric trait of a genuine user to deceive a system, spoofing, is the most important attacking method. Multi biometric systems have been develope...

Adaptive biometric recognition systems have been proposed to deal with natural changes of the clients’ biometric traits due to multiple factors, like aging. However, their adaptability to changes may be exploited by an attacker to compromise the stored templates, either to impersonate a specific client, or to deny access to him. In this paper we show how a carefully designed attack may graduall...

The biometric system that uses multiple biometric traits promises higher identification accuracy than identification in either individual domain. To reach this goal, special attention should be paid to the strategies for combining voiceprint and face experts. We propose an improved weighted sum rule based on the scores difference (SDWS) between the genuine speaker class and the mistaken speaker...

Biometric techniques exploit the human physiological and behavioural traits for verification and identification purposes. Biometrics powered systems make effective use of the face, fingerprint, iris etc. as physiological and signature, gait, posture and voice recognition as behavioural metrics for identification. This paper explains the inadequacy of uni-modal strategies and the pressing need f...

Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the use of multimodal biometrics. The face and the ear are highly attractive biometric traits for combination because of their physiological structure and location. Besides, both of them can be acquired non-intrusively. However, cha...

It has been demonstrated in the literature that the combining of different biometric traits is a powerful tool to overcome the limitations imposed by a single biometric system. The fusion of different systems can be approached in different ways. In this work, we consider the pattern classification approach, where the scores of the various systems are used as features to feed the classifiers. Mo...

Now a day’s biometric is playing a key role in several fields. A captured image from any kind of sensing element must be processed before the extraction of features. This paper discusses about image processing approach for vein pattern. Hand vein patterns are among the biometric traits being investigated today for identification purposes, attracting interest from both the research community and...

Different biometric traits such as face appearance and heartbeat signal from Electrocardiogram (ECG)/Phonocardiogram (PCG) are widely used in the human identity recognition. Recent advances in facial video based measurement of cardio-physiological parameters such as heartbeat rate, respiratory rate, and blood volume pressure provide the possibility of extracting heartbeat signal from facial vid...