Weighted Local Active Pixel Pattern (WLAPP) for Face Recognition in Parallel Computation Environment

Gundavarapu Mallikarjuna Rao


DOI: https://doi.org/10.12777/ijse.5.2.41-46

Abstract


Abstract  - The availability of multi-core technology resulted totally new computational era. Researchers are keen to explore available potential in state of art-machines for breaking the bearer imposed by serial computation. Face Recognition is one of the challenging applications on so ever computational environment. The main difficulty of traditional Face Recognition algorithms is lack of the scalability. In this paper Weighted Local Active Pixel Pattern (WLAPP), a new scalable Face Recognition Algorithm suitable for parallel environment is proposed.  Local Active Pixel Pattern (LAPP) is found to be simple and computational inexpensive compare to Local Binary Patterns (LBP). WLAPP is developed based on concept of LAPP. The experimentation is performed on FG-Net Aging Database with deliberately introduced 20% distortion and the results are encouraging.

Keywords — Active pixels, Face Recognition, Local Binary Pattern (LBP), Local Active Pixel Pattern (LAPP), Pattern computing, parallel workers, template, weight computation.

 

 


Keywords


Local Active Pixel Pattern, LBP, weight computation, workers

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References


REFERENCES

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Karm Veer Arya, Viraat Singh, Pabitra Mitra, Phalguni Gupta, Face Recognition using Parallel Associative Memory, 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC 2008).

Mallikarjuna Rao G et al., Face Recognition Applications using Active Pixels, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 4, July-August 2012, pp.466-477.

Mallikarjuna Rao G. et al.; Local Binary Patterns for Efficient Face Recognition, International Journal of Science and Engineering, Vol. 2(2):22-26, Dec. 2011, ISSN: 2086-5023.

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