Fingerprint Authentication Schemes for Mobile Devices

Abstract

In certain applications, fingerprint authentication systems require templates to be stored in databases. The possible leakage of these fingerprint templates can lead to serious security and privacy threats. Therefore, with the frequent use of fingerprint authentication on mobile devices, it has become increasingly important to keep fingerprint data safe. Due to rapid developments in optical equipment, biometric systems are now able to gain the same biometric images repeatedly, so strong features can be selected with precision. Strong features refer to high-quality features which can be easily distinguished from other features in biometric raw images. In this paper, we introduce an algorithm that identifies these strong features with certain probability from a given fingerprint image. Once values are extracted from these features, they are used as the authentication data. Using the geometric information of these strong features, a cancelable fingerprint template can be produced, and the process of extracting values and geometric information is further explained. Because this is a light-weight authentication scheme, this template has practical usage for low performance mobile devices. Finally, we demonstrate that our proposed schemes are secure and that the user’s biometric raw data of the fingerprint are safe, even when the mobile device is lost or stolen.

Exploring Mobile Game Interactions

“…Bioinformatics interaction is the interaction that uses unique biodata of the player who interacts with the game. Examples of this interaction are finger scan [40], iris scan, heart rates (show in Figure 15) and eye movements. This interaction type can be used to identify real users, choose profiles, and solve bot problems.…”

Real time model of a lock gate system upon fingerprint with microcontroller

“…In this paper we have tried to implement lock gate system by using a fingerprint scaner interfaced with Arduino microcontroller [11][12][13]. Any fingerprint scanner has two functions: get an image of a fingerprint, called verification and check its pattern for matching with other patterns in the database, called identification [14].…”

Portable and Efficient Fingerprint Authentication System Based on a Microcontroller

“…Among all biometric technologies, fingerprint analysis is universally used due to its easy acquisition, high distinctiveness, persistence, and acceptance by the public [2,3]; however, other technologies, such as ECG waveform features, are also found in the literature [4]. Fingerprint recognition has been used in home safety, forensic applications, smartphones, security boxes, smart homes, and even as a work or classroom attendance system [5][6][7][8][9]. Any fingerprint recognition system includes four phases: acquisition, representation (template), feature extraction, and matching [10].…”