Abstract
Biometric systems are increasingly replacing traditional password- and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper.
Highlights
Biometrics is a technology that uses the unique patterns of physical or behavioral traits of users for authentication or identification
FVC-ongoing sets up a benchmark to evaluate those algorithms using a set of sequestered databases and the results are evaluated by indicators—False Accept Rate (FAR), False Reject Rate (FRR), and EER—which is the rate at which both acceptance and rejection errors are equal [70]
All the above matching results are based on databases (e.g., fuzzy vault (FV)-STD-1.0) containing images with better quality than images acquired under non-ideal conditions, such as fingerprint images from crime scenes
Summary
Biometrics is a technology that uses the unique patterns of physical or behavioral traits of users for authentication or identification. Fingerprint image and further adapted transformed to generate template data for the the fingerprint image of a query is collected by the sensor module. Compared with other biometric traits (e.g., face, iris, and voice), fingerprint-based recognition systems are studied most extensively and deployed most widely. It has been reported that the recognition accuracy of fingerprint-based recognition systems is very high [15], with the general public showing medium acceptability to fingerprint acquisition [16] This is why fingerprint biometric systems occupy a large market share and have been adopted in various applications. A comprehensive review is presented to shed light on the latest development in the study of fingerprint-based biometrics concerning two important aspects—security and recognition accuracy.
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