MELON AUTHENTICATION BY AGRI-BIOMETRICS - Identifying Individual Fruits using a Single Image of Rind Pattern

Rui Ishiyama, Yoichi Nakamura, Akira Monden, Lei Huang, Seiji Yoshimoto

Abstract

We propose a new method of biometric authentication, called agri-biometrics that identifies an individual fruit using a single image of its rind patterns. Our proposed method normalizes the rotations in depth of the fruit and extracts a set of image features, which are compatible to the 'minutiae', from the normalized image; thus, it enables us to apply a state-of-the-art technique of fingerprint matching to identify the rind patterns of fruit. We conducted large-scale experiments to identify/verify 1,776 individual melons in practical situations where the images were taken under different pose and illumination conditions on different days. Our method in the experiments achieved excellent recognition of EER=0.06%. The agri-biometric authentication we propose accomplishes 'verifiable' agri-food traceability and brand protection; once the producers register pictures of their products into the database, anyone can verify the products on hand with the camera of a mobile phone.

References

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Paper Citation


in Harvard Style

Ishiyama R., Nakamura Y., Monden A., Huang L. and Yoshimoto S. (2012). MELON AUTHENTICATION BY AGRI-BIOMETRICS - Identifying Individual Fruits using a Single Image of Rind Pattern . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 698-704. DOI: 10.5220/0003842706980704


in Bibtex Style

@conference{visapp12,
author={Rui Ishiyama and Yoichi Nakamura and Akira Monden and Lei Huang and Seiji Yoshimoto},
title={MELON AUTHENTICATION BY AGRI-BIOMETRICS - Identifying Individual Fruits using a Single Image of Rind Pattern},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={698-704},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003842706980704},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - MELON AUTHENTICATION BY AGRI-BIOMETRICS - Identifying Individual Fruits using a Single Image of Rind Pattern
SN - 978-989-8565-03-7
AU - Ishiyama R.
AU - Nakamura Y.
AU - Monden A.
AU - Huang L.
AU - Yoshimoto S.
PY - 2012
SP - 698
EP - 704
DO - 10.5220/0003842706980704