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  1. IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).
  2. 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
  3. Fly wing biometrics
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2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
Development of image enhancement algorithm for fingerprint images in TMS320C6416 DSK
Person identification from actions based on Artificial Neural Networks
Periocular biometrics: An emerging technology for unconstrained scenarios
Contactless fingerprint recognition: A neural approach for perspective and rotation effects reduction
Exploiting clustering and stereo information in label propagation on facial images
Genetic Heuristic Development: Feature selection for author identification
Fly wing biometrics
Gait classification of twins and non-twins siblings
Estimating in-plane rotation angle for face images from multi-poses
Real-time beard detection by combining image decolorization and texture detection with applications to facial gender recognition
Localized spatiotemporal modular ICA for face recognition
Face identity verification based on sinusoidal projection
Facial expressions: Discriminability of facial regions and relationship to biometrics recognition
2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)

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Fly wing biometrics

Content Provider IEEE Xplore Digital Library
Author Payne, M. Turner, J. Shelton, J. Adams, J. Carter, J. Williams, H. Hansen, C. Dworkin, I. Dozier, G.
Copyright Year 2013
Description Author affiliation: Dept. of Zoology, Michigan State Univ., East Lansing, MI, USA (Dworkin, I.) || Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA (Payne, M.; Turner, J.; Shelton, J.; Adams, J.; Carter, J.; Williams, H.; Hansen, C.; Dozier, G.)
Abstract Genetic and Evolutionary Feature Extraction (GEFE), introduced by Shelton et al. [1], [2], [3], use genetic and evolutionary computation to evolve Local Binary Pattern (LBP) based feature extractors for facial recognition. In this paper, we use GEFE in an effort to classify male and female Drosophila melanogaster by the texture of their wings. To our knowledge, gender classification of the drosophila melanogaster via its wing has not been performed. This research has the potential to simplify the work of geneticists who work with the drosophila melanogaster. Our results show that GEFE outperforms both LBP and Eigenwing methods in terms of accuracy as well as computational complexity.
Starting Page 42
Ending Page 46
File Size 513777
Page Count 5
File Format PDF
ISBN 9781467358798
ISSN 23254300
DOI 10.1109/CIBIM.2013.6607912
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2013-04-16
Publisher Place Singapore
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Biometrics Local Binary Pattern (LBP) Biometrics (access control) Drosophila Feature Extraction Iron Statistics Genetic and Evolutionary Feature Extraction (GEFE) Sociology Genetic and Evolutionary Computations (GECs) Feature extraction Genetics Probes Genetic Algorithms (GA)
Content Type Text
Resource Type Article
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