Face Detection and Recognition & Investigation

Face Detection and Recognition & Investigation
Author(s):
RAHUL BAJAJ, Tanay Srivastava, Ronet Swaminanthan, Graceline Jasmine
Keywords:

Abstract
The detection and recognition of human faces in images, be it in a motive or static environment is one of the most popular topics in international research. In order create a face recognition system, this paper uses the Convolutional Neural Network to identify prominent parts of the human face, and then uses the AdaBoost algorithm to detect human face in the region. The processed image is then converted into a 128 bit encoding, which keeps only the most specific details of the extracted human face. For an image to be recognized, we then find the normalized difference of the Eucledian distance between the known image in the database and the input unknown image. The output of the system is the known name saved in the database.
Article Details
Unique Paper ID: 146095 Publication Volume & Issue: Volume 4, Issue 11 Page(s): 1341 - 1343
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org