Multiface recognition using OpenCV


Multiface recognition using OpenCV

100 in stock

SKU: Multiface recognition using OpenCV Categories: ,


Multiface recognition using OpenCV


          Face recognition can be considered one of the most successful biometric identification methods among several types of biometric identification including fingerprints, DNA, palm print, hand geometry, iris recognition, retina and odour/scent. Face recognition provides biometric identification that utilizes the uniqueness of faces for security purposes. The problem with face recognition using biometric identification is its lengthy process and the accuracy of the results. This paper proposes solutions for a faster face recognition process with accurate results. The proposed face recognition process was done using a hybrid process of Haar Cascades and Eigenface methods, which can detect multiple faces (55 faces) in a single detection process. This improved face recognition approach was able to recognize multiple faces with 91.67% accuracy level.

Proposed system

      In the implementation of the proposed face recognition process,it begins with capturing images using a webcam to get training data, which then goes through the face detection process, feature extraction process, and then the core of the face recognition to get the results. The results are sent to the database.


  • Unlock Phones and Laptops and other devices-Authentication
  • Identify Crime person
  • Help blind people
  • Smarter Advertising
  • Diagnose disease
  • Track Attendance

Additional information

Weight 1.000000 kg


There are no reviews yet.

Be the first to review “Multiface recognition using OpenCV”

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.