24
Views
5
CrossRef citations to date
0
Altmetric
Articles

A hybrid fuzzy framework for face detection and recognition using behavioral traits

, &
 

Abstract

Face recognition integrated with emotions and behavior can be a salient feature for identification of antisocial/criminal people. In this paper, a hybrid Fuzzy based Behavior Prognostic System for Disparate traits (FBPSDs) has been proposed. FBPSDs can be used in an emergency situation to identify and extract mischievous person(s) involved in any swindling act. The technique uses face recognition to identify the contextual faces. Further, fuzzy rules have been formulated to extricate more features for the culprit identification. The proposed framework has three stages: face detection, feature extraction and behavior analysis. Face detection for the proposed FBPSDs is further implemented using three techniques Haar Cascade, Skin color based and HOG methods on Labeled Faces in the Wild (LFW) and Facial dataset (Face 94, Face 95 and Face 96). Testing accuracy of 91%, 50%, 92% (LFW) and 91%, 60%, 91.5% (facial dataset) is achieved. Result analysis and evaluation prove that HOG method is the most acceptable and appropriate method for face detection.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.