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The identification of mammalian species through the classification of hair patterns using image pattern recognition

Published: 25 January 2006 Publication History

Abstract

The identification of mammals through the use of their hair is important in the fields of forensics and ecology. The application of computer pattern recognition techniques to this process provides a means of reducing the subjectivity found in the process, as manual techniques rely on the interpretation of a human expert rather than quantitative measures. The first application of image pattern recognition techniques to the classification of African mammalian species using hair patterns is presented. This application uses a 2D Gabor filter-bank and motivates the use of moments to classify hair scale patterns. Application of a 2D Gabor filter-bank to hair scale processing provides results of 52% accuracy when using a filter-bank of size four and 72% accuracy when using a filter-bank of size eight. These initial results indicate that 2D Gabor filters produce information that may be successfully used to classify hair according to images of its patterns.

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Cited By

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  • (2021)Hair Structure as a Key for Species Identification of Some Mammals Found in Gujarat State, IndiaProceedings of the Zoological Society10.1007/s12595-021-00388-075:2(247-253)Online publication date: 1-Sep-2021
  • (2020)Automated analysis of scanning electron microscopic images for assessment of hair surface damageRoyal Society Open Science10.1098/rsos.1914387:1(191438)Online publication date: 15-Jan-2020
  • (2014)Species Identification Key of Korean Mammal HairJournal of Veterinary Medical Science10.1292/jvms.13-056976:5(667-675)Online publication date: 2014
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  1. The identification of mammalian species through the classification of hair patterns using image pattern recognition

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    cover image ACM Conferences
    AFRIGRAPH '06: Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
    January 2006
    183 pages
    ISBN:1595932887
    DOI:10.1145/1108590
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 25 January 2006

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    View all
    • (2021)Hair Structure as a Key for Species Identification of Some Mammals Found in Gujarat State, IndiaProceedings of the Zoological Society10.1007/s12595-021-00388-075:2(247-253)Online publication date: 1-Sep-2021
    • (2020)Automated analysis of scanning electron microscopic images for assessment of hair surface damageRoyal Society Open Science10.1098/rsos.1914387:1(191438)Online publication date: 15-Jan-2020
    • (2014)Species Identification Key of Korean Mammal HairJournal of Veterinary Medical Science10.1292/jvms.13-056976:5(667-675)Online publication date: 2014
    • (2010) Geographical and individual variation in echolocation calls of the intermediate leaf‐nosed bat, Hipposideros larvatus Ethology10.1111/j.1439-0310.2010.01785.x116:8(691-703)Online publication date: 2-Jul-2010
    • (2009)Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image RetrievalArtificial Intelligence for Maximizing Content Based Image Retrieval10.4018/978-1-60566-174-2.ch003(44-67)Online publication date: 2009
    • (2008)Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image RetrievalProceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 0210.1109/BMEI.2008.124(253-257)Online publication date: 27-May-2008
    • (2008)Species identification of Oetzi's clothing with matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry based on peptide pattern similarities of hair digestsRapid Communications in Mass Spectrometry10.1002/rcm.367922:18(2751-2767)Online publication date: 21-Aug-2008
    • (2007)Automatic species identification of live mothsKnowledge-Based Systems10.1016/j.knosys.2006.11.01220:2(195-202)Online publication date: 1-Mar-2007
    • (2007)Automatic Species Identification of Live MothsApplications and Innovations in Intelligent Systems XIV10.1007/978-1-84628-666-7_5(58-71)Online publication date: 2007

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