An Efficient Boosting Approach for Score Level Fusion of Face and Palmprint Biometrics in Human Recognition
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015

An Efficient Boosting Approach for Score Level Fusion of Face and Palmprint Biometrics in Human Recognition

B. Sateesh Kumar, Dr. A. Govardhan

Biometrics based personal identification is regarded as an effective method for automatically recognizing a persons identity with confidence. A multimodal biometric system consolidates the evidence presented by multiple biometric sources and typically better recognition performance compare to systems based on a single biometric modality. This paper proposes a novel multipartite algorithm for score level fusion of multimodal biometric system identification using two biometric features i.e. face and palmprint. Multimodal biometric system is developed through fusion of face and palmprint recognition system. Further, to evaluate the performance of boosting-based fusion methods, experimental tests are carried over PolyU and CASIA databases. A comparative study is done by using different classification techniques on two databases.

Keywords: Biometrics, Classifiers, Multipartite, Palmprint, Face, Multimodal and Recognition Systems

Edition: Volume 4 Issue 10, October 2015

Pages: 1159 - 1164

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B. Sateesh Kumar, Dr. A. Govardhan, "An Efficient Boosting Approach for Score Level Fusion of Face and Palmprint Biometrics in Human Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB158952, Volume 4 Issue 10, October 2015, 1159 - 1164

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