Image Band-Distributive PCA-Based Face Recognition Technique

H Ndu, Akbar Sheikh-Akbari, Iosif Mporas, J Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper presents an Image Band-Distributive PCA (IBD-PCA) based technique for face recognition. The proposed method consists of four steps. In the first step, the reference image is pre-processed by converting its pixel values and performing histogram equalization to increase its contrast. In the second step, the equal-size boundary calculation method is used to calculate the boundary splitting values to divide the input image into multiple images with respect to band intensities of pixels. In the third step, Principal Component Analysis (PCA) is used to extract features from the images which will then be used as the input for the fourth step. In the last step, matching is performed by calculating the Euclidean distance between principal components. The proposed technique has been tested on the ORL Face Database and Yale Face Database. The experimental results demonstrate that the proposed technique outperforms other techniques on the same database.
Original languageEnglish
Title of host publicationCybersecurity Challenges in the Age of AI, Space Communications and Cyborgs
Subtitle of host publicationProceedings of the 15th International Conference on Global Security, Safety and Sustainability, London, October 2023
EditorsHamid Jahankhani
PublisherSpringer Nature
Number of pages12
ISBN (Electronic)978-3-031-47594-8
ISBN (Print)978-3-031-47593-1, 978-3-031-47596-2
Publication statusPublished - 22 Mar 2024
EventVirtual 15th International Conference on global Security, Safety & Sustainability - Virtual Conference, London, United Kingdom
Duration: 11 Oct 202312 Oct 2023
Conference number: 15

Publication series

NameAdvanced Sciences and Technologies for Security Applications
VolumePart F2308
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466


ConferenceVirtual 15th International Conference on global Security, Safety & Sustainability
Abbreviated titleICGS3 2023
Country/TerritoryUnited Kingdom
Internet address


  • Face recognition
  • Image band-distributive PCA
  • Principal component analysis


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