BiometriaPubblicazioni
9 settembre 2016

Face Recognition System on Mobile Device based on Web Service approach

Abstract: This paper proposes a new application for face recognition task on mobile device. The originality of the work is based on the web service, able to store the normalized distances in the database, to verify the correct building of the classifier’s model and to match the test normalized distances with the training normalized distances already stored in the database. This innovative technique is named Bridge Approach (BA). The Bridge Approach allows both to speed up the processing and to use the face recognition system in all locations where an internet network is available. The application uses the OpenCV library for dynamic targeting of face, eyes, nose and mouth and WEKA library for the classification purpose. Experimental results are carried out on 500 face images belonging to 10 individuals (50 images each). Finally, the main goal of the work is to show the performances in terms of computational time and classifier’s accuracy.

Keywords: Face Recognition System, Web Service Architecture, OpenCV, WEKA, Mobile device

Leggi tutto

Info sull’autore

Biometria
 
Abstract – This paper presents experimental results related to a simplified and efficient face recognition system using a basic webcam. More...
 
Abstract: Handwritten signatures are generally considered a powerful biometric traits for personal verification. Recently, handwritten signatures have been also investigated for...
 
Abstract: Prediction of performance in Off-line Automatic Signature Verification (ASV) per signer is one of the important topics regarding to automatic...
 
Abstract: This paper proposes a new application for face recognition task on mobile device. The originality of the work is...
 
Some title Some author
Some excerpt
 
Some title Some author
Some excerpt