A Web Based Face Counter Prediction System from Only Fingerprints


SAĞIROĞLU Ş. , YAVANOĞLU U.

11th IEEE International Conference on Machine Learning and Applications (ICMLA), Florida, United States Of America, 12 - 15 December 2012, pp.222-226 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icmla.2012.156
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.222-226

Abstract

Up to now a large number of approaches and algorithms about biometric recognition techniques have been developed and proposed in the literature in details. Relationships about biometrics have recently been studied in the field by author research group. This paper presents a web based intelligent face mask prediction system based on artificial neural networks to predict faces from only fingerprint images. The aim of this study is to develop an online platform to be used by users, researchers or academics around the world. The results have been shown that the system can be used for live test through internet. The proposed web based system is successful to support and encourage researchers around the world to see and exercise this new concept in biometrics. The developed system predicts an appropriote face mask covering nose, eyes, ears and mouth from fingerprint images with the help of an intelligent model.