Multimodal Biometric Authentication System Using Hand Shape, Palm Print, and Hand Geometry

Author(s):  
Gaurav Jaswal ◽  
Amit Kaul ◽  
Ravinder Nath
2019 ◽  
Vol 16 (11) ◽  
pp. 4883-4888
Author(s):  
P. Kumaran ◽  
R. Ashoka Rajan ◽  
T. Veeramani ◽  
R. Thilagavathy

To develop a complete biometric authentication system, security is highly needed. Even though there are several methods for storing fingerprint templates, they are compromised by the attacker leaving it as an unprotected system. In this paper, a novel method is proposed for protecting biometrics through an user defined graph named Web Modulo Graph. Feature vectors are extracted from the Left Fingerprint, Right Fingerprint and Palm Print during the enrollment process. The captured information from the biometrics are combined and stored in Web Modulo Graph where the insertion and traversal of feature vectors are unknown to the attacker. So even if the database or the graph structure is stolen by the attacker the correct sequence cannot be obtained. In this case, guessing the correct sequence is not almost possible as user defined graph is used and the system can achieve this with an Equal Error Rate (EER) of 4.8%. After various analyses, the proposed system is found to have high computational hardness.


Author(s):  
Celia López-Ongil ◽  
Raul Sanchez-Reillo ◽  
Judith Liu-Jimenez ◽  
Fernando Casado ◽  
Leslie Sánchez ◽  
...  

Author(s):  
Swati Verma ◽  
Pomona Mishra

In this paper we are providing an approach for authentication using palm prints. Reliability in computer aided personal authentication is becoming increasingly important in the information-based world, for effective security system. Biometrics is physiological characteristics of human beings, unique for every individual that are usually time invariant and easy to acquire. Palm print is one of the relatively new physiological biometrics due to its stable and unique characteristics. The rich information of palm print offers one of the powerful means in personal recognition.


ID and Analysis Of Palm Print In Biometric Authentication System Using Bayes TechniquesIn nowadays there is a hazard that others can get to a similar data anyplace and whenever. At present passwords, individual recognizable proof cards are utilized for individual ID. Presently a days Biometric based acknowledgment is the most prevalent human acknowledgment design. Biometrics estimates person's one of a kind or conduct attributes to validate individual personality. It gives progressively dependable and proficient methods for character check. The physical component of hand known as palm geometry contains data that is fit for confirming the personality of a person. The objective of biometrics check framework comprises in choosing whether two attributes have a place with same individual or not.In this case picture can be utilized for confirmation purposes. The term worldwide states that entire picture of the palm is considered for confirmation. Principle work for this situation is the pre-handling of picture, at that point extricating the highlights, making the informational index, bunching calculation and Classification calculation is utilized and execution is looked at in both the cases.


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