Animal Face Detection Technique Using DCT

Authors

  • Prasannakumar Eluru  Department of EEE, Sri Sai Ram College of Engineering, Anekal, Bengalurum Karnataka, India
  • Santhosh Kumar. B. R  Department of EEE, Sri Sai Ram College of Engineering, Anekal, Bengalurum Karnataka, India
  • Santhosh Dhanajaya  Department of EEE, Sri Sai Ram College of Engineering, Anekal, Bengalurum Karnataka, India
  • Vinodh. K  Department of EEE, Sri Sai Ram College of Engineering, Anekal, Bengalurum Karnataka, India
  • R. Gunasekari  

Keywords:

Digital Image Processing; Animal Detection; DCT;

Abstract

The problem of facilitating machine to learn & detect patterns of animals and categorizing them in the rapidly expanding image databases has become increasingly challenging for image retrieval systems. The problem to be solved is detection of animal faces in an image. In this regard, we propose transform domain techniques to identify the low frequency components present in an image signal to generate highly discriminative geometrical features preserving color and texture information which are analogous to human vision perceptual models. A human can do this easily, but a computer needs precise instructions and constraints. Animal detection based researchers are useful for many real life applications. Animal detection methods are helpful on the research related to locomotive behavioral of targeted animal and also to prevent dangerous animal intrusion in residential area. There are a few branches of research related to animal detection. Therefore, in this paper, Face Detection is done by Discrete Cosine Transform (DCT) approach.

References

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Prasannakumar Eluru, Santhosh Kumar. B. R, Santhosh Dhanajaya, Vinodh. K, R. Gunasekari, " Animal Face Detection Technique Using DCT, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.938-942, March-April-2016.