Biometrics Applications in an E-World

Zhang, David

doi:10.1007/978-1-4615-1053-6_1

Cited by 11 publications

(14 citation statements)

References 39 publications

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“…In practice, a significant amount of captured fingerprint images are of poor quality [4]. Therefore, preprocessing is often applied to fingerprint images in order to enhance fingerprint features, thereby increasing the robustness of the feature extraction process.…”

Section: Fingerprint Recognitionmentioning

confidence: 99%

A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition

Wang

Desai

Wen

et al. 2009

Rough Sets and Knowledge Technology

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Abstract. In this paper, we have proposed a prototype biometrics authentication system based upon fingerprint recognition. The major functional blocks of the proposed authentication system are presented in details. A simple but effective algorithm is proposed to detect and remove false minutia, which is able to considerably improve the system performance. The performance of the developed system is demonstrated to have a high level of accuracy through experimentation.

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Section: Fingerprint Recognitionmentioning

confidence: 99%

A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition

Wang

Desai

Wen

et al. 2009

Rough Sets and Knowledge Technology

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“…The process of automatically associating an identity with an individual by means of some inherent personal characteristic is called biometric recognition [15], [31], [39], [52]. Traditionally, person authentication has been accomplished by associating to the person's identity something that he/she possesses (e.g., a key, a card, etc.)…”

Section: Personal Authentication Through Biometricsmentioning

confidence: 99%

“…Beyond sheer accuracy, there are many other factors to consider when examining a biometric solution for an application [15], [52], such as vulnerability to fraud, the degree of distinctiveness or uniqueness of the biometric, the intrinsic short-and long-term variability associated with the biometric, the intrusiveness of the system to collect the biometric sample (and the required user cooperativeness), the ease of user enrollment/recognition, and the long-term support required (database management, re-enrollment, template updating). Moreover, biometric authentication cannot be considered as producing error-free verification decisions under any application condition, making multilayered security a general condition for most applications.…”

Section: Personal Authentication Through Biometricsmentioning

confidence: 99%

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Authentication gets personal with biometrics

Ortega‐Garcia

Bigün²,

Reynolds³

et al. 2004

IEEE Signal Process. Mag.

118

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“…Although no single biometrics is expected to effectively satisfy the requirements of all identification purposes, the use of such unique, reliable, and stable personal features has invoked increasing interest in the development of biometrics-based identification systems for various civilian, military and forensic applications. Currently, a number of biometrics-based technologies have been commercially available, and many others are being proposed, researched, and evaluated [1]- [3], [14], [16]. It is known that each biometric technology has its strength and limitation in different applications.…”

Section: Introductionmentioning

confidence: 99%

On Hierarchical Palmprint Coding With Multiple Features for Personal Identification in Large Databases

You

Kong

Zhang

et al. 2004

IEEE Trans. Circuits Syst. Video Technol.

114

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Abstract-Automatic personal identification is a significant component of security systems with many challenges and practical applications. The advances in biometric technology have led to the very rapid growth in identity authentication. This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement, and fast search for the best match, we propose a hierarchical multifeature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In our approach, four-level features are defined: global geometry-based key point distance (Level-1 feature), global texture energy (Level-2 feature), fuzzy "interest " line (Level-3 feature), and local directional texture energy (Level-4 feature). In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by a coarse-to-fine guided search. The proposed method has been tested in a database with 7752 palmprint images from 386 different palms. The use of Level-1, Level-2, and Level-3 features can remove candidates from the database by 9.6%, 7.8%, and 60.6%, respectively. For a system embedded with an Intel Pentium III processor (500 MHz), the execution time of the simulation of our hierarchical coding scheme for a large database with 10 6 palmprint samples is 2.8 s while the traditional sequential approach requires 6.7 s with 4.5% verification equal error rate. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.

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Biometrics Applications in an E-World

Cited by 11 publications

References 39 publications

A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition

A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition

Authentication gets personal with biometrics

On Hierarchical Palmprint Coding With Multiple Features for Personal Identification in Large Databases

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