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...

Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much interest in machine vision systems that can duplicate and improve upon this human ability for application to biometric identification. While gait has several attractive properties as a biometric (it is unobtrusive and c...

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Among most of the biometric methods, Iris recognition is regarded as the most reliable and accurate biometric identification system. The performance of iris recognition system highly depends on the accurate segmentation. For the Iris Segmentation there i...

The matching accuracy of a biometric system is typically quantified through measures such as the False Match Rate (FMR), False Non-match Rate (FNMR), Equal Error Rate (EER), Receiver Operating Characteristic (ROC) curve and Cumulative Match Characteristic (CMC) curve. In this work, we analyze the relationship between the ROC and CMC curves, which are two measures commonly used to describe the p...

Traditional biometric systems that based on single biometric usually suffer from problems likeimposters' attack or hacking, unacceptable error rate and low performance. So the need of using multimodal biometric system occurred .In this paper, a study of multimodal palm veins and signature identification is presented.Features of both modalities are extracted by using morphological operations and...

The Biometric recognition is an important parameter used for Human Identification and Verification. There are already various Biometrics available in today’s world, but not all of them are used commercially. The most widely used Biometrics is also prone to errors and can cause falsification. This paves way for a need of novel Biometric Recognition. A new approach in Human Identification & verif...

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...

An accurate automatic personal identification is critical in a wide range of application domains such as access control and surveillance systems. Biometrics technologies have been increasingly adopted to provide identification with a high degree of confidence. A number of biometric traits exist and are in use in various applications. As one of the developing biometric techniques, palmprint iden...

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...

Biometric feature is used for human identification and verification in access management of physical, virtual work space and many other real time applications. The current state-of-art biometric identification algorithm focuses on accuracy and hence works well in terms of response time on small scale database.In real life scenario biometric database are huge and without any intelligent scheme t...