Youn-Hee Gil

An ultra-low memory fingerprint matching algorithm and its implementation on a 32-bit smart card

We propose an ultra-low memory fingerprint matching algorithm and implement it on a 32-bit smart card. We first evaluated both the number of instructions executed and memory requirement of each step of a typical fingerprint matching algorithm. Then, we developed a memory-efficient algorithm for the most memory-consuming step (alignment) by doing more computations under the restriction of the real-time requirement. Our experimental results show that the proposed algorithm can reduce the required memory space by a factor of 62 and can be executed in real-time on a 32-bit smart card.

Access control system with high level security using fingerprints

Biometric based applications guarantee for resolving numerous security hazards. As a method of preserving of privacy and the security of sensitive information, biometrics has been studied and used for the past few decades. Fingerprint is one of the most widely used biometrics. A number of fingerprint verification approaches have been proposed until now. However, fingerprint images acquired using current fingerprint input devices that have small field of view are from just very limited areas of whole fingertips. Therefore, essential information required to distinguish fingerprints could be missed, or extracted falsely. The limited and somewhat distorted information are detected from them, which might reduce the accuracy of fingerprint verification systems. In the systems that verify the identity of two fingerprints using fingerprint features, it is critical to extract the correct feature information. In order to deal with these problems, compensation of imperfect information can be performed using multiple impressions of enrollees fingerprints. In this paper, additional three fingerprint images are used in enrollment phase of fingerprint verification system. Our experiments using FVC 2002 databases show that the enrollment using multiple impressions improves the performance of the whole fingerprint verification system.

Fusion for multimodal biometric identification

In this paper, we investigate fusion methods for multimodal identification using several unimodal identification results. One fingerprint identification system and two face identification systems are used as fusion sources. We discuss rank level and score level fusion methods. Whereas the latter combines similarity scores, the other one combines the orders of the magnitudes of the similarity scores. For rank level methods, Borda Count and Bayes Fuse are considered and, for score level methods, Sum Rule and Binary Classification Approach are considered. Especially, we take a more detailed look at Binary Classification Approach, which simplifies a multiple class problem into a binary class problem. Finally, we compare experimental results using the fusion methods in different combinations of the sources.

Performance Analysis of Smart Card-Based Fingerprint Recognition For Secure User Authentication

In the modern electronic world, authentication of a person is an important task in many areas of day-to-day life. Using a biometrics to authenticate a person’s identity has several advantages over the present practices of Personal Identification Number stored in smart cards. However, there is an open issue of integrating biometrics into the smart cards. Typical authenticating algorithms by using biometrics may not be executed in real-time on the resource-constrained smart cards. In this paper, we analyse first the performance requirement of the biometric authentication on the smart cards. Then, to satisfy the requirement, we have developed a light-weighted finger recognition algorithm. Finally, we investigate the possibility of integration of the algorithm into the smart card. Based on our simulation results, a smart card can be designed such that the card can encapsulate all the critical information including the biometrics data, and perform all the comparison securely inside the smart card without any data leaking out.

User Enrollment Using Multiple Snapshots of Fingerprint

As a method of preserving of privacy and the security of sensitive information, biometrics has been studied and used for the past few decades. A number of fingerprint verification approaches have been proposed until now. However, fingerprint images acquired using current fingerprint input devices that have small field of view are from just very limited areas of whole fingertips. Therefore, essential information required to distinguish fingerprints could be missed or extracted falsely. The limited and somewhat distorted information are detected from them, which might reduce the accuracy of fingerprint verification systems. In the systems that verify the identity of two fingerprints using fingerprint features, it is critical to extract the correct feature information. In order to deal with these problems, compensation of imperfect information can be performed using multiple snapshots of enrollee’s fingerprints. In this paper, additional fingerprint images are used in enrollment phase. Our experiments using FVC 2002 databases show that the enrollment using multiple snapshots improves the performance of the whole fingerprint verification system.

Improved and accessible e-book reader application for visually impaired people

This1paper presents a study of an accessible e-book reader application for visually impaired people. We interviewed 27 visually impaired people to understand their usage patterns of e-books and user requirements in terms of functions and interface of an e-book reader application. Based on this survey, we were able to establish the basic direction of development of our e-book reader application; we implemented the first version of the e-book reader focusing on basic functionality. This version of the e-book reader obtained a value of user satisfaction of more than 75% in the usability test. We are continuing to develop the next version of this e-book reader with differentiated functions for reading professional books that include equations, tables, graphs, and so on. In addition, we are considering supporting a simple and fast input method and providing personalized UI. Beyond ebook readers, we hope that our study will be useful when designing and developing various mobile applications, considering that visually impaired users want to obtain information and experience equal to that available to the non-visually disabled.