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Image Processing Communication Research Group |
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Introduction |
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The basic theme of establishing Image
Processing
group is to explore different areas of Image processing and computer
vision. The research in this group mainly focuses on Biometric Recognition Systems,
that can be helpful to overcome current security problems.
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Group Members |
- Muhammad Aurangzeb Khan,
Head
- Tariq Bashir
- Tariq Mahmood
- Syed Muzahir Abbas
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Current Research |
Research is based on Segmentation and
Normalization. In an iris recognition system Segmentation mean extracting the inner
circular boundary (pupil) and outer circular boundary from an eye image. We proposed
some new methods for both pupil segmentation and iris as well.
- Iris normalization is a process to transform the circular reign to rectangular
so that the matching algorithms can
easily be implemented regardless pupil dilation and the different iris size caused
by the different distance between the eye and video zoom factor.
- Figure 4 and Figure 7 show some
of the results of our proposed iris and pupil segmentation methods.
- In face recognition, currently
we are on making facial images illumination invariant, which is one of the most
fundamental preprocessing step of any face recognition system. Since, achieving
illumination invariance in the presence of large pose changes remains one of the
most challenging aspects of automatic face recognition from low resolution imagery.
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References: |
- [1]: “Specifications of CASIA iris
image database,” in Chinese Academy of Sciences, Available at: www.nlpr.ia.ac.cn/english/irds/irisdatabase.htm
- [2]: “MMU iris image database,”
in 2007 Available at: www.persona.mmu.edu.my.ccteo/
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Future aims: |
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Our objective is to design a
complete Multimodal Biometric Security System. Multimodal Biometric Technology uses more than one biometric identifier to compare the identity of the person. Therefore
in the case of a system using more than one technology, if one fails to identify,
the system can still use other to accurately identify the person.
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Contact:
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