Redundant Parallel Hopfield Network Configurations: A New Approach to the Two-Dimensional Face Recognitions

KIPS Transactions on Software and Data Engineering, Vol. 7, No.2, pp.63-68, February 2018
10.3745/KTSDE.2018.7.2.063, Full Text

Abstract

Interests in face recognition area have been increasing due to diverse emerging applications. Face recognition algorithm from a two-dimensional source could be challenging in dealing with some circumstances such as face orientation, illuminance degree, face details such as with/without glasses and various expressions, like, smiling or crying. Hopfield Network capabilities have been used specially within the areas of recalling patterns, generalizations, familiarity recognitions and error corrections. Based on those abilities, a specific experimentation is conducted in this paper to apply the Redundant Parallel Hopfield Network on a face recognition problem. This new design has been experimentally confirmed and tested to be robust in any kind of practical situations.


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Cite this paper

[KIPS Transactions Style]
K. Y. Taek and D. Kiatama, "Redundant Parallel Hopfield Network Configurations: A New Approach to the Two-Dimensional Face Recognitions," KIPS Transactions on Software and Data Engineering, Vol.7, No.2, pp.63-68, 2018, DOI: 10.3745/KTSDE.2018.7.2.063.

[IEEE Style]
Kim Yong Taek and Deo Kiatama, "Redundant Parallel Hopfield Network Configurations: A New Approach to the Two-Dimensional Face Recognitions," KIPS Transactions on Software and Data Engineering, vol. 7, no. 2, pp. 63-68, 2018. DOI: 10.3745/KTSDE.2018.7.2.063.

[ACM Style]
Taek, K. Y. and Kiatama, D. 2018. Redundant Parallel Hopfield Network Configurations: A New Approach to the Two-Dimensional Face Recognitions. KIPS Transactions on Software and Data Engineering, 7, 2, (2018), 63-68. DOI: 10.3745/KTSDE.2018.7.2.063.