• English
    • العربية
  • English 
    • English
    • العربية
  • Login
View Item 
  •   University of Zawia DSpace
  • Scientific conferences and seminars || المؤتمرات والندوات العلمية
  • The 1st International Conference of the Faculties of Sciences :::: كتاب المؤتمر الدولي الاول لكليات العلوم
  • View Item
  •   University of Zawia DSpace
  • Scientific conferences and seminars || المؤتمرات والندوات العلمية
  • The 1st International Conference of the Faculties of Sciences :::: كتاب المؤتمر الدولي الاول لكليات العلوم
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

INVESTIGATING NEW ASPECTS FOR FACE RECOGNITIONS

Thumbnail
View/Open
INVESTIGATING NEW ASPECTS FOR FACE RECOGNITION.pdf (1.224Mb)
Date
2022-02-15
Author
Alrjebi, Mustafa M.
Abuzed, Massaoud
Metadata
Show full item record
Abstract
In recentdecades, research in Face Recognition (FR) has grownveryrapidly due to the broaddemand on face recognition systems. Researchers in this area attempt to tackle the difficultiesthat can affect the accuracy of FR. Extracting relevant information from face images was the first research topic in thisarea;manyapproaches have been proposed for thispurposesuch as Principle Component Analysis (PCA), Linear Discriminant Analysis (LDA), DiscreteCosineTransform (DCT), and SparseRepresentation Coding (SRC). In addition to that, researchersattempt to deal withsomeotherfactorsthat can negatively affect the recognition accuracyincluding: facial expressions, illumination (lighting conditions), pose variations, occlusion and distance. Toomanyresearchpapers have been introduced to solve theseproblemsresulting in very high recognition rate. However, each single researchfocusesonly on one factor discardingotherfactors. Unfortunately, face recognition systemsdon’t have the ability of recognisingmost of the abovefactors, especially, illumination. In thispaper: First , wewill show the shortcomings of the currentresearch in dealingwith the abovementionedfactors. Secondly, wewillclearlydefinedifferent information that can beobtainedfrom face images, namelydiscriminate information and similarity/shared information. Then, wewillillustrate how this information can beusedeffectively to increase Face Recognition rate. Thirdly, based on the previouswork on face recognition research, wewill show that the embedded information such as Local Binary Pattern (LBP) can beimprovedefficiently for FR. Suchimprovement can beachieved by effective extraction of embedded information and good estimation of the value of featuresobtainedfromthis information. Finally, we propose adding a new distinct component to the structure of current face recognition systems, i.e. Facial State Recognition (FSR), including pose, illumination, occlusion, and distance, therefore, convenient FR method can beusedbased on FSR.
URI
http://dspace.zu.edu.ly/xmlui/handle/1/1750
Collections
  • The 1st International Conference of the Faculties of Sciences :::: كتاب المؤتمر الدولي الاول لكليات العلوم [30]

University of Zawia copyright © 2020 
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

University of Zawia copyright © 2020 
Contact Us | Send Feedback
Theme by 
Atmire NV