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Increasing the performance of face recognition in near infrared region with Hierarchical Grouping | IEEE Conference Publication | IEEE Xplore

Increasing the performance of face recognition in near infrared region with Hierarchical Grouping


Abstract:

In this study, a new method is proposed to increase the performance for near infrared region(NIR) face recognition problem. this method is named as Hierarchical Grouping ...Show More

Abstract:

In this study, a new method is proposed to increase the performance for near infrared region(NIR) face recognition problem. this method is named as Hierarchical Grouping (HG). Principal Component Analysis (PCA) and Local Binary Pattern (LBP) methods which are widely used in literature, are used for feature extraction and for classification k Nearest Neighbor (kNN) method is used. The developed algorithm is tested on CBSR NIR database. Performance increase is obtained for the different preprocessed database by using hierarchical grouping method.
Date of Conference: 16-19 May 2015
Date Added to IEEE Xplore: 22 June 2015
Electronic ISBN:978-1-4673-7386-9
Print ISSN: 2165-0608
Conference Location: Malatya, Turkey