Face recognition based on feature point detection (national ICT R&D funded)

Simple item page
dc.contributor.authorMohsin Ijaz Chaudhry
dc.contributor.authorTouqeer Attique
dc.date.accessioned2026-01-27T22:22:59Z
dc.date.available2026-01-27T22:22:59Z
dc.date.issued2013-12-30
dc.description.abstractFace recognition from image is a popular topic in biometrics research. In last couple of years, a lot of research has been done in this field. The actual advantages of face based identification over other biometrics are uniqueness and acceptance. In this research paper, two new feature based approaches have been introduced. Results of this paper demonstrate that our approaches outperform the already existing approaches of face recognition including Principal Component Analysis (PCA) and Feature Based approaches. The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy and better response rate. Various approaches including Brute force, Principal Component Analysis (PCA) using Eigen faces, Feature based Extraction using Active Shape Model (ASM) and Feature based Extraction using BoRMaN have been implemented in this research paper. This research paper provides comparison of these approaches along with their results.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/18988
dc.language.isoen
dc.publisherUMT Lahore
dc.titleFace recognition based on feature point detection (national ICT R&D funded)
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Face recognition based on feature point detection (national ICT R&D funded).docx
Size:
1.9 MB
Format:
Microsoft Word XML
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
2013