SELF-SIMILARITY MEASURMENT USING PERCENTAGE OF ANGLE SIMILARITY ON CORRELATIONS OF FACE OBJECTS

Darun Kesrarat, Paitoon Porntrakoon

Abstract

A 2D face image can be used to search the self-similar images in the criminal database. This self-similar search can assist the human user to make the final decision among the retrieved images. In previous self-similar search, a 2D face image comprises of objects and object correlations. The attribute values of objects and their correlations are measured and stored in the face image database. The similarity percentage is specified to retrieve the self-similar images from the database. The problem of previous self-similar search is that the percentage of the angle differentiation among the objects in different part is different although their angle differentiation is exactly the same. The proposed model is introduced to improve the stability of the similarity percentage by reducing the number of face objects, object correlations, and the degree calculation. After testing over 100 samples, the proposed method illustrated that the stability of similarity percentage is improved especially for the left side objects of the face image.

References

  1. Petrakis, Euripides G.M., and Christos Faloutsos, 1997. In IEEE trans. On Knowledge and data Engineering, “Similarity Searching in Medical Image Databases”.
  2. I. Kapouleas, 1990. In Proc. 10th Int'l Conf. Pattern reconition, “Segmentation and Feature Extraction for Magnetic Resonance Brain Image Analysis”.
  3. S. Dellepiane, G. Venturi, and G. Vernazza, 1992. In Pattern Recognition, “Model Generation and Model Matching of Real Images by Fuzzy Approach”.
  4. A.V. Ramen, S. Sarkar, and K.L. Boyer, 1993. In CVGIP: Image Understanding, “Hypothesizing Structure in Edge-Focused Cerebral Magnetic Image Using Graph-Theoretic Cycle Enumeration”.
  5. S.-K. Change, Q.-Y. Shi, and C.-W. Yan, 1987. In IEEE Trans. Pattern Analysis and Machine Intelligence, “Iconic Indexing by 2-D Strings”.
  6. S.-Y. Lee and F.-J. Hsu, 1992. In Pattern Recognition, “Spatial Reasoning and Similarity Retrieval of Images Using 2D C-String Knowledge Representation”.
  7. P. Porntrakoon, and C. Jittawiriyanukoon, 1999. In IASTED International Conference On Applied Modelling and Simulation, “A model for Similarity Searching in 2D Face Image Data”.
  8. V. Srisarkun, and C. Jittawiriyanukoon, 2001. In the Sixth INFORMS Conference on Information System & Technology, “A model for Self-Similar Searching in Face Image Data Processing”.
  9. V. Srisarkun, J. Cooper and C. Jittawiriyanukoon, 2001. In the Twentieth IASTED International Conference On Applied Informatics, “Self-Similar Searching in Image Database for crime Investigation”.
  10. V. Srisarkun, J. Cooper and C. Jittawiriyanukoon, 2002. In ECIS International Conference On Applied Modelling and Simulation, “A model for Self-Similar Search in Image Database with Scar”.
  11. V. Srisarkun, J. Cooper and C. Jittawiriyanukoon, 2002. In the Proceeding of the VIPromCom 2002-4th EURASIP-IEEE Region 8 International Symposium on Video Processing and Multimedia Communications, “Face Recognition Using a Similarity-based Distance Measure for Image Database”.
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Paper Citation


in Harvard Style

Kesrarat D. and Porntrakoon P. (2009). SELF-SIMILARITY MEASURMENT USING PERCENTAGE OF ANGLE SIMILARITY ON CORRELATIONS OF FACE OBJECTS . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-674-000-9, pages 369-373. DOI: 10.5220/0002164203690373


in Bibtex Style

@conference{icinco09,
author={Darun Kesrarat and Paitoon Porntrakoon},
title={SELF-SIMILARITY MEASURMENT USING PERCENTAGE OF ANGLE SIMILARITY ON CORRELATIONS OF FACE OBJECTS},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2009},
pages={369-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002164203690373},
isbn={978-989-674-000-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - SELF-SIMILARITY MEASURMENT USING PERCENTAGE OF ANGLE SIMILARITY ON CORRELATIONS OF FACE OBJECTS
SN - 978-989-674-000-9
AU - Kesrarat D.
AU - Porntrakoon P.
PY - 2009
SP - 369
EP - 373
DO - 10.5220/0002164203690373