Efficient Identification Using a Prime-Feature-Based Technique

Dil Muhammad Akbar Hussain, Shaiq A. Haq, Andrea Valente

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Identification of authorized train drivers through biometrics is a growing area of interest in locomotive radio remote control systems. The existing technique of password authentication is not very reliable and potentially unauthorized personnel may also operate the system on behalf of the operator. Fingerprint identification system, implemented on PC/104 based real-time systems, can accurately identify the operator. Traditionally, the uniqueness of a fingerprint is determined by the overall pattern of ridges and valleys as well as the local ridge anomalies e.g., a ridge bifurcation or a ridge ending, which are called minutiae points. Designing a reliable automatic fingerprint matching algorithm for minimal platform is quite challenging. In real-time systems, efficiency of the matching algorithm is of utmost importance. To achieve this goal, a prime-feature-based indexing algorithm is proposed in this paper. The technique involves identifying the most prominent feature of the fingerprint and searching only for that feature in the database to expedite the search process. The proposed architect provides efficient matching process and indexing feature for identification is unique.
OriginalsprogEngelsk
TitelProceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011
RedaktørerS. I. Ao, Oscar castillo, Craig Douglas, David D. Feng, Jeong-A Lee
Vol/bindVolume I
Udgivelses stedHong Kong
ForlagNewswood Limited, International Association of Engineers, IAENG
Publikationsdato16. mar. 2011
Sider187-192
ISBN (Trykt)978-988-18210-3-4
StatusUdgivet - 16. mar. 2011
Udgivet eksterntJa

Fingeraftryk

Real time systems
Locomotives
Biometrics
Remote control
Authentication
Identification (control systems)
Personnel
Control systems

Citer dette

Hussain, D. M. A., Haq, S. A., & Valente, A. (2011). Efficient Identification Using a Prime-Feature-Based Technique. I S. I. Ao, O. castillo, C. Douglas, D. D. Feng, & J-A. Lee (red.), Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011 (Bind Volume I, s. 187-192). Hong Kong: Newswood Limited, International Association of Engineers, IAENG.
Hussain, Dil Muhammad Akbar ; Haq, Shaiq A. ; Valente, Andrea. / Efficient Identification Using a Prime-Feature-Based Technique. Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011. red. / S. I. Ao ; Oscar castillo ; Craig Douglas ; David D. Feng ; Jeong-A Lee. Bind Volume I Hong Kong : Newswood Limited, International Association of Engineers, IAENG, 2011. s. 187-192
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title = "Efficient Identification Using a Prime-Feature-Based Technique",
abstract = "Identification of authorized train drivers through biometrics is a growing area of interest in locomotive radio remote control systems. The existing technique of password authentication is not very reliable and potentially unauthorized personnel may also operate the system on behalf of the operator. Fingerprint identification system, implemented on PC/104 based real-time systems, can accurately identify the operator. Traditionally, the uniqueness of a fingerprint is determined by the overall pattern of ridges and valleys as well as the local ridge anomalies e.g., a ridge bifurcation or a ridge ending, which are called minutiae points. Designing a reliable automatic fingerprint matching algorithm for minimal platform is quite challenging. In real-time systems, efficiency of the matching algorithm is of utmost importance. To achieve this goal, a prime-feature-based indexing algorithm is proposed in this paper. The technique involves identifying the most prominent feature of the fingerprint and searching only for that feature in the database to expedite the search process. The proposed architect provides efficient matching process and indexing feature for identification is unique.",
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Hussain, DMA, Haq, SA & Valente, A 2011, Efficient Identification Using a Prime-Feature-Based Technique. i SI Ao, O castillo, C Douglas, DD Feng & J-A Lee (red), Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011. bind Volume I, Newswood Limited, International Association of Engineers, IAENG, Hong Kong, s. 187-192.

Efficient Identification Using a Prime-Feature-Based Technique. / Hussain, Dil Muhammad Akbar; Haq, Shaiq A.; Valente, Andrea.

Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011. red. / S. I. Ao; Oscar castillo; Craig Douglas; David D. Feng; Jeong-A Lee. Bind Volume I Hong Kong : Newswood Limited, International Association of Engineers, IAENG, 2011. s. 187-192.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Efficient Identification Using a Prime-Feature-Based Technique

AU - Hussain, Dil Muhammad Akbar

AU - Haq, Shaiq A.

AU - Valente, Andrea

PY - 2011/3/16

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N2 - Identification of authorized train drivers through biometrics is a growing area of interest in locomotive radio remote control systems. The existing technique of password authentication is not very reliable and potentially unauthorized personnel may also operate the system on behalf of the operator. Fingerprint identification system, implemented on PC/104 based real-time systems, can accurately identify the operator. Traditionally, the uniqueness of a fingerprint is determined by the overall pattern of ridges and valleys as well as the local ridge anomalies e.g., a ridge bifurcation or a ridge ending, which are called minutiae points. Designing a reliable automatic fingerprint matching algorithm for minimal platform is quite challenging. In real-time systems, efficiency of the matching algorithm is of utmost importance. To achieve this goal, a prime-feature-based indexing algorithm is proposed in this paper. The technique involves identifying the most prominent feature of the fingerprint and searching only for that feature in the database to expedite the search process. The proposed architect provides efficient matching process and indexing feature for identification is unique.

AB - Identification of authorized train drivers through biometrics is a growing area of interest in locomotive radio remote control systems. The existing technique of password authentication is not very reliable and potentially unauthorized personnel may also operate the system on behalf of the operator. Fingerprint identification system, implemented on PC/104 based real-time systems, can accurately identify the operator. Traditionally, the uniqueness of a fingerprint is determined by the overall pattern of ridges and valleys as well as the local ridge anomalies e.g., a ridge bifurcation or a ridge ending, which are called minutiae points. Designing a reliable automatic fingerprint matching algorithm for minimal platform is quite challenging. In real-time systems, efficiency of the matching algorithm is of utmost importance. To achieve this goal, a prime-feature-based indexing algorithm is proposed in this paper. The technique involves identifying the most prominent feature of the fingerprint and searching only for that feature in the database to expedite the search process. The proposed architect provides efficient matching process and indexing feature for identification is unique.

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Hussain DMA, Haq SA, Valente A. Efficient Identification Using a Prime-Feature-Based Technique. I Ao SI, castillo O, Douglas C, Feng DD, Lee J-A, red., Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2011. Bind Volume I. Hong Kong: Newswood Limited, International Association of Engineers, IAENG. 2011. s. 187-192