Please use this identifier to cite or link to this item:
|Title:||A rule based model for efficient representation and accurate recognition of human faces|
|Citation:||Shekar, B.H.,Thippeswamy, G.,Shivakumara, P. (2010). A rule based model for efficient representation and accurate recognition of human faces. ACE 2010 - 2010 International Conference on Advances in Computer Engineering : 326-329. ScholarBank@NUS Repository. https://doi.org/10.1109/ACE.2010.62|
|Abstract:||In this paper, we investigate whether the rule based system derived from edges are effective and efficient for face representation and recognition when the number of classes is fixed and known. The characteristics of edges namely straightness and crookedness are used to derive rules. During training, a representative feature value is calculated for each class based on the average percentage of edges that satisfy the rule. In recognition, the representative feature value of an unknown face image is compared against the class representative feature value to assign a label to it. The proposed system does not require extensive feature extraction and classification techniques. Our experimental analysis on the standard CALTECH face databases shows that the edge based system is suitable for real time environment. © 2010 IEEE.|
|Source Title:||ACE 2010 - 2010 International Conference on Advances in Computer Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.