Face Detection and Recognition & Investigation

RAHUL BAJAJ; Tanay Srivastava; Ronet Swaminanthan; Graceline Jasmine

Face Detection and Recognition & Investigation

Authors: RAHUL BAJAJ, Tanay Srivastava, Ronet Swaminanthan, Graceline Jasmine

Unique Paper ID: 146095
Volume: 4
Issue: 11
PageNo: 1341-1343

Keywords: No Keywords Found

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.

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ISSN: 2349-6002
Volume: 4
Issue: 11
PageNo: 1341-1343

Face Detection and Recognition & Investigation

Available:https://ijirt.org/Article?manuscript=146095

04 May, 2019

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