A Fully Automatic Approach for Human Recognition from Profile Images Using 2D and 3D Ear Data

S.M.S. Islam, Mohammed Bennamoun, Ajmal Mian, Rowan Davies

    Research output: Chapter in Book/Conference paperConference paperpeer-review

    17 Citations (Scopus)

    Abstract

    The use of ear shape as a biometric trait for recognizing people in different applications is one of the most recent trends in the research communities. In this work, a fully automatic and fast technique based on the AdaBoost algorithm is used to detect a subject’s ear from his/her 2D and corresponding 3D profile images. A modified version of the Iterative Closest Point (ICP) algorithm is then used for the matching of this extracted probe ear to the previously stored ear data in a gallery database. A coarse-to-fine hierarchical technique is used where the ICP algorithm is first applied on low and then on high resolution meshes of 3D ear data. We obtain a rank one recognition rate of 93% while testing with the University of Notre Dame Biometrics Database. The proposed recognition approach does not require any manual intervention or sharp extraction of ear contour from the detected ear region. No segmentation of the extracted ear is required and more importantly, the system performance does not rely on the presence of a particular feature of the ear.
    Original languageEnglish
    Title of host publicationProceedings of Fourth International Symposium on 3D Data Processing, Visualization and Transmission
    EditorsStephan Gumhold, Jana Kosecka, Oliver Staadt
    Place of PublicationAtlanta, Georgia, U.S.A.
    PublisherGeorgia Institute of Technology, http://www.cc.gatech.edu/rese
    Pages131-135
    Volume1
    EditionAtlanta, Georgia, USA
    Publication statusPublished - Jun 2008
    EventA Fully Automatic Approach for Human Recognition from Profile Images Using 2D and 3D Ear Data - Atlanta, Georgia, USA
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceA Fully Automatic Approach for Human Recognition from Profile Images Using 2D and 3D Ear Data
    Period1/01/08 → …

    Fingerprint

    Dive into the research topics of 'A Fully Automatic Approach for Human Recognition from Profile Images Using 2D and 3D Ear Data'. Together they form a unique fingerprint.

    Cite this