Iris Pigment Spots Detection implementing Thresholding Method

  • Authors

    • Mustafa Man
    • Mohamad Faizal Ab Jabal
    • Mohd Shafry Mohd Rahim
    • Suhardi Hamid
    • , Wan Nural Jawahir Wan Yussof
    2018-11-26
    https://doi.org/10.14419/ijet.v7i4.29.21852
  • Colour feature detection, HSV colour model, Iris image, Pigment spots, Threshold method

  • Abstract

    The increment size of the pigment spots on iris surface is indicated to the eye disease. Therefore, an automatic pigment spot detection has been proposed to detect the pigment spots on the iris surface. The main challenge is the type of feature that needs to be used for detection is unidentified. Based on the standard features applied for detection purposes, most of the features, such as shape, edges and vector, are not reliable. This situation occurs because the physical form of the pigment spots on the iris surface are dynamic. Hence, the pigment spots colour is the best feature possible to be applied, because it is moderately consistent. However, the spot colour intensity value are numerous. Several colour intensity values that have been used by other researchers were unable to detect the pigment spots. Henceforth, new colour intensity values based on thresholding method have been proposed in this paper. The approach has been applied through on the HSV colour model. The result shows the proposed values more accurate to detect the spots on the iris surface. The results have been recorded as follows (FAR) 0%, 1.33% and 4%, (FRR) 80%, 73.33%, and 70.67%, (DR) 20%, 25.33% and 25.33%.

  • References

    1. [1] Adegoke, B.O., Omidiora, E.O., Falohun, S.A., Ojo, J.A. (2013) “Iris Segmentation: A Survey.†International Journal of Modern Engineering Research (IJMER). pp: 1885-1889 URL: http://www.ijmer.com/papers/Vol3_Issue4/AD3418851889.pdf

      [2] Bastys, A., Kranauskas, J., Krüger, V. (2013) “Iris Recognition with Taylor Expansion Features.†Advances in Computer Vision and Pattern Recognition: Handbook of Iris Recognition. DOI: http://dx.doi.org/10.1007/978-1-4471-4402-1_6

      [3] Beran, L., Chmelar, P. and Rejfek, L. (2016) “Image Processing Methods Usable for Object Detection on the Chessboard.†MATEC: Web of Conferences 75, 03004 (ICMIE 2016). DOI: 10.1051/matecconf/20167503004

      [4] Bhoyar, K.K. and Kakde, O.G. (2010) “Skin Color Detection Model Using Neural Networks and its Performance Evaluation.†Journal of Computer Science. 6 (9). pp: 963-968. DOI: 10.3844/jcssp.2010.963.968

      [5] Bowyer, K.W, Hollingsworth, K.P, Flynn, P.J. (2013) “A Survey of Iris Bio-metrics Research: 2008–2010.†Advances in Computer Vision and Pattern Recognition: Handbook of Iris Recognition. pp: 15-54. Springer Lon-don. DOI: 10.1007/978-1-4471-4402-1_2

      [6] Doukim, C.A., Dargham, J.A., Chekima, A. (2009) “Comparison of Three Colour Spaces in Skin Detection.†Borneo Science. 24, 75-81. URL: http://wwwsst.ums.edu.my/data/file/Hp4pmPUQfXhg.pdf

      [7] Edwards, M., Cha, D., Krithika, S., Johnson, M., Parra, E.J. (2016) “Analysis of iris surface features in populations of diverse ancestry.†R. Soc. Open Sci. 3:150424. DOI: http://dx.doi.org/10.1098/rsos.150424

      [8] Flom, L. and Safir, A. (1987) "Iris recognition system", U. S. Patent 4 641 349.

      [9] Image Analyst. (2016) MathWorks. Title: Simple Color Detection by Hue (). URL: https://www.mathworks.com/matlabcentral/fileexchange/28512-simplecolordetectionbyhue--

      [10] Jillela, R., Ross, A.A. (2013) “Methods for Iris Segmentation.†Advances in Computer Vision and Pattern Recognition: Handbook of Iris Recognition. pp: 15-54. Springer London. DOI 10.1007/978-1-4471-4402-1_13

      [11] Johnson, D., (1984) “What the Eye Reveals: An Introduction to the Rayid Method of Iris Interpretation.†1st Ed., Rayid Model Publications, Goleta, CA, ISBN-10: 0917197011.

      [12] Man, M. Jabal, M.F.A., Rahim, M.S.M. (2016a) “A Comparative Study on Hough Transform Segmentation Approach for Outlier Iris Image.†Information Science and Application (ICISA) pp: 409-419. Springer Singapore. DOI: 10.1007/978-981-10-0557-2_41

      [13] Man, M. Jabal, M.F.A., Rahim, M.S.M. (2016b) “Implementation of Geodesic Active Contour Approach for Pigment Spots Segmentation on the Iris Surface.†Journal of Computer Sciences. 12(11). pp: 564-571. DOI: 10.3844/jcssp.2016.564.571

      [14] Mary, J.S. and Magneta S.C. (2016) “Content Based Image Retrieval using Color, Multi-Dimensional Texture and Edge Orientation.†International Journal of Science Technology & Engineering (IJSTE). 2(10). pp: 110-115. URL: https://ijste.org/Article.php?manuscript=IJSTEV2I10033

      [15] Miao, R-H., Tang, J-L., Chen, X-Q. (2015) “Classification of farmland images based on color features†Journal of Visual Communication and Image Representation, 29. pp: 138-146, DOI: https://doi.org/10.1016/j.jvcir.2015.02.011.

      [16] Miles Research, (2013) “Miles Research Iris Database.†http://www.milesresearch.com/

      [17] Preethi, D.M.D. and V.E. Jayanthi, (2014) “Ocular disease diagnosis based on LBP and Gabor filter.†International Journal of Scientifix & Engineering Research, 5. pp: 297-304. http://www.ijser.org/researchpaper%5COcular-Disease-Diagnosis-Based-On-LBP-and-Gabor-filter.pdf

      [18] Sidhartha, E. (2014) “Characterizing Iris Surface Features and their association with Angle Closure Related Traits in Asian Eyes.†Master Thesis, Department of Ophthalmology, National University of Singapore.

      [19] Srivastava, D., Wadhvani, R., Gyanchandani, M. (2015) “A Review: Color Feature Extraction Methods for Content Based Image Retrieval.†International Journal of Computational Engineering & Management (IJCEM), 18(3). pp: 9-13. URL: http://www.ijcem.org/papers052015/ijcem_052015_02.pdf

      [20] Sturm, R.A., and Larsson, M. (2009) “Genetics of Human Iris Colour and Patterns.†Pigment Cell Melanoma Res. 22, pp: 544–562. DOI: 10.1111/j.1755-148X.2009.00606.x

      [21] Tan, K-W., and Stephen, I.D. (2013) “Colour Detection Thresholds in Faces and Colour Patches.†Perception. 42(7). pp: 733-741. DOI: https://doi.org/10.1068/p7499

      [22] Tiwari, A., Marathe, A., Mondhe, P., Vashishth, S., Pawar, S.J. (2016) “Skin Disease Detection System.†International Online Conference on Advance Research & Development in Engineering and Technology (IO-CARDET 2016). E-ISSN: 2349-0721. URL: http://www.iejrd.com/Previous_Issue.html

      [23] Weis, E., Shah, C.P., Lajous, M., Sheilds, J.A., Sheilds, C.L., (2009). The association of Cutaneous and Iris Nevi with Uveal Melanoma: A Meta-analysis. The American Academy of Ophthalmology, DOI: 10.1016/j.ophtha.2008.10.2008

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  • How to Cite

    Man, M., Jabal, M. F. A., Rahim, M. S. M., Hamid, S., & Yussof, , W. N. J. W. (2018). Iris Pigment Spots Detection implementing Thresholding Method. International Journal of Engineering & Technology, 7(4.29), 94-100. https://doi.org/10.14419/ijet.v7i4.29.21852

    Received date: 2018-11-27

    Accepted date: 2018-11-27

    Published date: 2018-11-26