An Asymmetric Fingerprint Matching Algorithm for Java Card

A novel fingerprint matching algorithm is proposed in this paper. The algorithm is based on the minutiae local structures, that are invariant with respect to global transformations like translation and rotation. Match algorithm has been implemented inside a smartcard over the Java Card? platform, meeting the individual\u27s need for information privacy and the overall authentication procedure security, since the card owner biometric template never leaves the private support device and the match is computed inside a secure environment. The main characteristic of the algorithm is to have an asymmetric behaviour between correct positive matches (between two same fingerprint samples) and correct negative matches (between two different fingerprint images): in the first case, the match procedure stops as it finds that images belong to the same fingerprint, gaining high speed efficiency, while in the second case the verification process lasts longer, exploring all the minutiae pairings. The performances in terms of authentication reliability and speed have been tested on the databases from the Fingerprint Verification Competition 2002 edition (FVC2002) by taking in account the different hardware to run the algorithms. Moreover, our procedure has showed better reliability results when compared on a common database with a related algorithm developed specifically for Java Card?

Bio : A Mulrimodal biometric authentication system for person identification and verification

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A new algorithm for minutiae extraction and matching in fingerprint

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A novel algorithm for fingerprint template formation and matching in automatic fingerprint recognition has been developed. At present, fingerprint is being considered as the dominant biometric trait among all other biometrics due to its wide range of applications in security and access control. Most of the commercially established systems use singularity point (SP) or ‘core’ point for fingerprint indexing and template formation. The efficiency of these systems heavily relies on the detection of the core and the quality of the image itself. The number of multiple SPs or absence of ‘core’ on the image can cause some anomalies in the formation of the template and may result in high False Acceptance Rate (FAR) or False Rejection Rate (FRR). Also the loss of actual minutiae or appearance of new or spurious minutiae in the scanned image can contribute to the error in the matching process. A more sophisticated algorithm is therefore necessary in the formation and matching of templates in order to achieve low FAR and FRR and to make the identification more accurate. The novel algorithm presented here does not rely on any ‘core’ or SP thus makes the structure invariant with respect to global rotation and translation. Moreover, it does not need orientation of the minutiae points on which most of the established algorithm are based. The matching methodology is based on the local features of each minutiae point such as distances to its nearest neighbours and their internal angle. Using a publicly available fingerprint database, the algorithm has been evaluated and compared with other benchmark algorithms. It has been found that the algorithm has performed better compared to others and has been able to achieve an error equal rate of 3.5%

UTP Cafeteria Cashless Payment System using Fingerprint Recognition

Cashless payment system is one of the most significant improvements in food service and is transforming today's quick service especially for campus or high school cafeteria. There are several medium for cashless payment system which include using smart cards or credit cards and biometric technologies. There are many problem associated with smart cards and credit cards technologies since people might forget the password. With cards to identify a person, whoever has possession of the card can again access. Biometric technologies have its different features to remedy this problem. A biometric system cannot be implemented the same way as one utilizing password since there will be no physical items. One reason a biometric system is valuable is in the way it authenticate users. A biometric system offers levels of physical security, integrity and confidentiality. This research focuses on the development of Cashless Payment System for UTP Cafeteria using fingerprint recognition, a system which enables students to make payment for foods that they purchased using the touch of their finger. Intensive research and literature review had been done in order to obtain as much information to develop the project. Surveys had been done over some group of students to obtain data on their feedback regarding the development of the system. The project will solve problems that arise from the cash based system which is currently used by all cafe owners in UTP

Distributed authentication to preserve privacy through smart card based biometric matching

Bibliography: pages 135-139.This thesis focuses on privacy concerns, specifically those relating to the storage and use of biometrics. These concerns result from the fact that biometric information is unique. This uniqueness makes the biometric a very strong identifier increasing the possibility that it could be used to monitor an individual's activities. An expert can extract considerable information from a biometric scan, ranging from the age or gender to whether the individual has certain diseases

A Biometric Approach to Prevent False Use of IDs

What is your username? What is your password? What is your PIN number? These are some of the commonly used key questions users need to answer accurately in order to verify their identity and gain access to systems and their own data. Passwords, Personal Identification Numbers (PINs) and ID cards are different means of tokens used to identify a person, but these can be forgotten, stolen or lost. Currently, University of Hertfordshire (UH) carries out identity checks by checking the photograph on an ID card during exams. Other processes such as attendance monitoring and door access control require tapping the ID card on a reader. These methods can cause issues such as unauthorised use of ID card on attendance system and door access system if ID card is found, lost or borrowed. During exams, this could lead to interruptions when carrying out manual checks. As the invigilator carries out checks whilst the student is writing an exam, it is often difficult to see the student’s face as they face down whilst writing the exam. They cannot be disturbed for the ID check process. Students are also required to sign a manual register as they walk into the exam room. This process is time consuming. A more robust approach to identification of individuals that can avoid the above mentioned limitations of the traditional means, is the use of biometrics. Fingerprint was the first biometric modality that has been used. In comparison to other biometric modalities such as signature and face recognition, fingerprint is highly unique, accepted and leads to a more accurate matching result. Considering these properties of fingerprint biometrics, it has been explored in the research study presented in this thesis to enhance the efficiency and the reliability of the University’s exam process. This thesis focuses on using fingerprint recognition technology in a novel approach to check identity for exams in a University environment. Identifying a user using fingerprints is not the only aim of this project. Convenience and user experience play vital roles in this project whilst improving speed and processes at UH

Mixing Biometric Data For Generating Joint Identities and Preserving Privacy

Biometrics is the science of automatically recognizing individuals by utilizing biological traits such as fingerprints, face, iris and voice. A classical biometric system digitizes the human body and uses this digitized identity for human recognition. In this work, we introduce the concept of mixing biometrics. Mixing biometrics refers to the process of generating a new biometric image by fusing images of different fingers, different faces, or different irises. The resultant mixed image can be used directly in the feature extraction and matching stages of an existing biometric system. In this regard, we design and systematically evaluate novel methods for generating mixed images for the fingerprint, iris and face modalities. Further, we extend the concept of mixing to accommodate two distinct modalities of an individual, viz., fingerprint and iris. The utility of mixing biometrics is demonstrated in two different applications. The first application deals with the issue of generating a joint digital identity. A joint identity inherits its uniqueness from two or more individuals and can be used in scenarios such as joint bank accounts or two-man rule systems. The second application deals with the issue of biometric privacy, where the concept of mixing is used for de-identifying or obscuring biometric images and for generating cancelable biometrics. Extensive experimental analysis suggests that the concept of biometric mixing has several benefits and can be easily incorporated into existing biometric systems