Some learning issues in user-specific multimodal biometrics

Kar Ann Toh, Wei Yun Yau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The idea of user-specific multimodal biometrics is pioneered by [1] and further exploited by [2] recently. In this paper, we look into several issues pertaining to user-specific multimodal biometric verification. These issues include the small sample size problem, learning of local decision hyperplanes and setting of local thresholds. For small sample size problem, the noise-injection technique and a feature scaling-space technique are considered. For local learning, we adopt a recently proposed reduced polynomial since it has fast single-step computation and accurate estimation. For setting of local decision thresholds, nine baselines are identified. Extensive experiments are performed on a moderate data set and relatively conclusive results are observed.

Original languageEnglish
Title of host publication2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Pages1268-1273
Number of pages6
Volume2
Publication statusPublished - 2004 Dec 1
Event8th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Kunming, China
Duration: 2004 Dec 62004 Dec 9

Other

Other8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
CountryChina
CityKunming
Period04/12/604/12/9

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Some learning issues in user-specific multimodal biometrics'. Together they form a unique fingerprint.

  • Cite this

    Toh, K. A., & Yau, W. Y. (2004). Some learning issues in user-specific multimodal biometrics. In 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV) (Vol. 2, pp. 1268-1273). [TuM4.06 - P1868]