Analysis Of Data Stratification In A Multi-Sensor Fingerprint Dataset Using Match Score Statistics

Biometric data is an essential feature employed in testing the performance of any real time biometric recognition system prior to its usage. The variations introduced in the match performance critically determine the authenticity of the biometric data to be able to be used in an everyday scenario for the testing of biometric verification systems. This study in totality aims at understanding the impact of data stratification of a such a biometric test dataset on the match performance of each of its stratum. In order to achieve this goal, the fingerprint dataset of the West Virginia University\u27s 2012 BioCOP has been employed which is a part of the many multimodal biometric data collection projects that the University has accomplished. This test dataset has been initially segmented based on the scanners employed in the process of data acquisition to check for the variations in match performance with reference to the acquisition device. The secondary stage of data stratification included the creation of stratum based on the demographic features of the subjects in the dataset.;The main objectives this study aims to achieve are:;• Developing a framework to assess the match score distributions of each stratum..;• Assessing the match performance of demographic strata in comparison to the total dataset..;• Statistical match performance evaluation using match score statistics..;Following the generation of genuine and imposter match score distributions , Receiver Operating Characteristic Curves (ROC) were plotted to compare the match performance of each demographic stratum with respect to the total dataset. The divergence measures KLD and JSD have been calculated which signify the amount of variation between the match score distributions of each stratum. With the help of these procedures, the task of estimating the effect of data stratification on the match performance has been accomplished which serves as a measure of understanding the impact of this fingerprint dataset when used for biometric testing purposes

Postmortem iris recognition and its application in human identification

Iris recognition is a validated and non-invasive human identification technology currently implemented for the purposes of surveillance and security (i.e. border control, schools, military). Similar to deoxyribonucleic acid (DNA), irises are a highly individualizing component of the human body. Based on a lack of genetic penetrance, irises are unique between an individual’s left and right iris and between identical twins, proving to be more individualizing than DNA. At this time, little to no research has been conducted on the use of postmortem iris scanning as a biometric measurement of identification. The purpose of this pilot study is to explore the use of iris recognition as a tool for postmortem identification. Objectives of the study include determining whether current iris recognition technology can locate and detect iris codes in postmortem globes, and if iris scans collected at different postmortem time intervals can be identified as the same iris initially enrolled. Data from 43 decedents involving 148 subsequent iris scans demonstrated a subsequent match rate of approximately 80%, supporting the theory that iris recognition technology is capable of detecting and identifying an individual’s iris code in a postmortem setting. A chi-square test of independence showed no significant difference between match outcomes and the globe scanned (left vs. right), and gender had no bearing on the match outcome. There was a significant relationship between iris color and match outcome, with blue/gray eyes yielding a lower match rate (59%) compared to brown (82%) or green/hazel eyes (88%), however, the sample size of blue/gray eyes in this study was not large enough to draw a meaningful conclusion. An isolated case involving an antemortem initial scan collected from an individual on life support yielded an accurate identification (match) with a subsequent scan captured at approximately 10 hours postmortem. Falsely rejected subsequent iris scans or "no match" results occurred in about 20% of scans; they were observed at each PMI range and varied from 19-30%. The false reject rate is too high to reliably establish non-identity when used alone and ideally would be significantly lower prior to implementation in a forensic setting; however, a "no match" could be confirmed using another method. Importantly, the data showed a false match rate or false accept rate (FAR) of zero, a result consistent with previous iris recognition studies in living individuals. The preliminary results of this pilot study demonstrate a plausible role for iris recognition in postmortem human identification. Implementation of a universal iris recognition database would benefit the medicolegal death investigation and forensic pathology communities, and has potential applications to other situations such as missing persons and human trafficking cases

Automatic fingerprint recognition: from children to elderly Ageing and age effects

By courtesy of the Portuguese Government, DG JRC has received a comprehensive set of fingerprint data from individuals aged 0-25 and 65-98. The main purpose of the proposed experiments is to deepen the understanding regarding the physiological development of the fingertip ridge structure over time and its impact on automated fingerprint recognition. The experiments explore three biometric processes in the light of age, ageing and growth effects. These effects are demonstrated and validated. A growth model is also developed and validated. The report concludes with a series of recommendations for enhanced implementation of automated fingerprint recognition system and suggestions for further researches.JRC.E.3-Cyber and Digital Citizens' Securit

Integration of biometrics and steganography: A comprehensive review

The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has the potential to augment both access control parameters and the secure transmission of sensitive biometric data. However, despite these efforts, the amalgamation of biometric and steganographic methods has failed to transition from the research lab into real-world applications. In light of this review of both academic and industry literature, we suggest that future research should focus on identifying an acceptable level steganographic embedding for biometric applications, securing exchange of steganography keys, identifying and address legal implications, and developing industry standards

A Longitudinal Analysis on the Feasibility of Iris Recognition Performance for Infants 0-2 Years Old

The focus of this study was to longitudinally evaluate iris recognition for infants between the ages of 0 to 2 years old. Image quality metrics of infant and adult irises acquired on the same iris camera were compared. Matching performance was evaluated for four groups, infants 0 to 6 months, 7 to 12 months, 13 to 24 months, and adults. A mixed linear regression model was used to determine if infants’ genuine similarity scores changed over time. This study found that image quality metrics were different between infants and adults but in the older group, (13 to 24 months old) the image quality metric scores were more likely to be similar to adults. Infants 0 to 6 months old had worse performance at an FMR of 0.01% than infants 7 to 12 months, 13 to 24 months, and adults

Biometrics

Biometrics uses methods for unique recognition of humans based upon one or more intrinsic physical or behavioral traits. In computer science, particularly, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance. The book consists of 13 chapters, each focusing on a certain aspect of the problem. The book chapters are divided into three sections: physical biometrics, behavioral biometrics and medical biometrics. The key objective of the book is to provide comprehensive reference and text on human authentication and people identity verification from both physiological, behavioural and other points of view. It aims to publish new insights into current innovations in computer systems and technology for biometrics development and its applications. The book was reviewed by the editor Dr. Jucheng Yang, and many of the guest editors, such as Dr. Girija Chetty, Dr. Norman Poh, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park, Dr. Sook Yoon and so on, who also made a significant contribution to the book

Contactless Palmprint Recognition System: A Survey

Information systems in organizations traditionally require users to remember their secret pins or (passwords), token, card number, or both to con�rm their identities. However, the technological trend has been moving towards personal identi�cation based on individual behavioural attributes (such as gaits, signature, and voice) or physiological attributes (such as palmprint, �ngerprint, face, iris, or ear). These attributes (biometrics) offer many advantages over knowledge and possession-based approaches. For example, palmprint images have rich, unique features for reliable human identi�cation, and it has received signi�cant attention due to their stability, reliability, uniqueness, and non-intrusiveness. This paper provides an overview and evaluation of contactless palmprint recognition system, the state-of-the-art performance of existing studies, different types of ``Region of Interest'' (ROI) extraction algorithms, feature extraction, and matching algorithms. Finally, the �ndings obtained are presented and discussed

An evaluation of the mechanisms of recovery of DNA and fingerprints from fire scenes

Incidents involving the intentional or deliberate setting of a fire within a compartment are frequently difficult to investigate both because of the damage to the property in question and the apparent lack of forensic evidence which could be used to potentially identify a suspect. The recovery of such evidence in the form of DNA and fingerprints from a fire scene would therefore be advantageous. During this project, replicate samples of DNA and fingerprints were deposited on both porous and non porous surfaces which were then exposed to laboratory controlled elevated temperatures for various time periods. In each case replicate DNA samples or replicate depleted series of fingerprint samples were used to produce robust data sets for subsequent statistical analysis. DNA and fingerprint samples were also exposed to a real fire environment using a fire training facility in order to simulate operational conditions. The results obtained suggest that the optimum recovery method for low template DNA was to use a wet followed by a dry cotton swabbing action of the surface before combining the two swabs for extraction. When the DNA was exposed to elevated temperatures in a controlled environment, there was a greater possibility of recovering a full SGM Plus profile if the DNA had been absorbed into a porous rather than non porous surface and the surface exposed up to a maximum of 100˚C only. All of the samples which were exposed to the uncontrollable fire environment produced partial DNA profiles. The survivability and chemical enhancement of fingerprints deposited on both porous and non porous surfaces was robustly investigated where 70 replicate fingerprints were examined in each case for each test condition. For porous surfaces the most efficient sequence of enhancement techniques was an initial visual examination, followed by a fluorescence examination prior to treatment with DFO, and finally PD. It was found that this sequence could be employed for both wet and dry articles. In the case of dry, non porous surfaces, visual examination followed by fluorescence examination should be utilised prior to undertaking superglue - BY40 treatment. Powder suspension should be substituted for superglue in the case of wet items.Incidents involving the intentional or deliberate setting of a fire within a compartment are frequently difficult to investigate both because of the damage to the property in question and the apparent lack of forensic evidence which could be used to potentially identify a suspect. The recovery of such evidence in the form of DNA and fingerprints from a fire scene would therefore be advantageous. During this project, replicate samples of DNA and fingerprints were deposited on both porous and non porous surfaces which were then exposed to laboratory controlled elevated temperatures for various time periods. In each case replicate DNA samples or replicate depleted series of fingerprint samples were used to produce robust data sets for subsequent statistical analysis. DNA and fingerprint samples were also exposed to a real fire environment using a fire training facility in order to simulate operational conditions. The results obtained suggest that the optimum recovery method for low template DNA was to use a wet followed by a dry cotton swabbing action of the surface before combining the two swabs for extraction. When the DNA was exposed to elevated temperatures in a controlled environment, there was a greater possibility of recovering a full SGM Plus profile if the DNA had been absorbed into a porous rather than non porous surface and the surface exposed up to a maximum of 100˚C only. All of the samples which were exposed to the uncontrollable fire environment produced partial DNA profiles. The survivability and chemical enhancement of fingerprints deposited on both porous and non porous surfaces was robustly investigated where 70 replicate fingerprints were examined in each case for each test condition. For porous surfaces the most efficient sequence of enhancement techniques was an initial visual examination, followed by a fluorescence examination prior to treatment with DFO, and finally PD. It was found that this sequence could be employed for both wet and dry articles. In the case of dry, non porous surfaces, visual examination followed by fluorescence examination should be utilised prior to undertaking superglue - BY40 treatment. Powder suspension should be substituted for superglue in the case of wet items

A Review on Biometric Encryption System in Cloud Computing

This Review paper is about the security of bio metric templates in cloud databases. Biometrics is proved to be the best authentication method. However, the main concern is the security of the biometric template, the process to extract and stored in the database within the same database along with many other. Many techniques and methods have already been proposed to secure templates, but everything comes with its pros and cons, this paper provides a critical overview of these issues and solutions