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, Feb. 2018
10.3745/KTSDE.2018.7.2.63,   PDF Download:
Keywords: Redundant Parallel Hopfield Network, Two-Dimensional Face Recognition, Face Expressions, Pattern Recall, GPU
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 article
[IEEE 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.2018.7.2.63.

[ACM Style]
Kim Yong Taek and Deo Kiatama. 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.2018.7.2.63.