Biometric systems identify a person through physical traits or verify his/her identity through automatic processes. Various systems were used over years including systems like fingerprint, iris, facial images, hand geometry and speaker recognition. For biometric systems successful implementation, it has to address issues like efficiency, accuracy, applicability, robustness and universality. Sin...

In this paper, some successful iris recognition methods are listed and their performances are compared. Furthermore, the existing approaches, challenges and conclusion are described. The purpose of ‘Iris Recognition’ is to recognize a person from his/her iris image. Every individual has a unique iris. Iris is an important biometric method with high accuracy, performance and low error rate. Iris...

Biometric systems refer to biometric technologies which can be used to achieve authentication. Unlike cryptography-based technologies, the ratio for certification in biometric systems needs not to achieve 100% accuracy. However, biometric data can only be directly compared through proximal access to the scanning device and cannot be combined with cryptographic techniques. Moreover, repeated use...

Biometric systems have a variety of problems such as noisy data, non-universality, spoof attacks and unacceptable error rate. These limitations can be solved by deploying multimodal biometric systems. Multimodal biometric systems utilize two or more individual traits, like face, iris, retina and fingerprint. Multimodal biometric systems improve the recognition accuracy more than uni-modal metho...

A biometric system which is based only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Multimodal biometrics is an emerging field of biometric technology, where more than one biometric trait to improve the combined performance. We introduce a bimodal biometric system which integrates face and fingerprint. This ...

Biometric recognition offers a reliable solution to the problem of user authentication in identity management systems. With the widespread deployment of biometric systems in various applications, there are increasing concerns about the security and privacy of biometric technology. Public acceptance of biometrics technology will depend on the ability of system designers to demonstrate that these...

Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems ar...

In this paper, we propose a priority verification method for multimodal biometric features by using a momentum back-propagation artificial neural network (MBP-ANN). We also propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-ti...

Mixing, abduction and illegal adoption of infant is a global challenge and the research done to solve this problem is minimal. Traditional methods of biometric and non biometric techniques have their own limitations and fail to provide required level of security. The task of face recognition has been actively researched in recent year and automatic face recognition of infant is not reported in ...

Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems ar...