DocumentCode :
589314
Title :
A Web Based Face Counter Prediction System from Only Fingerprints
Author :
Sagiroglu, Seref ; Yavanoglu, Uraz
Author_Institution :
Dept. of Comput. Eng., Gazi Univ., Ankara, Turkey
Volume :
2
fYear :
2012
fDate :
12-15 Dec. 2012
Firstpage :
222
Lastpage :
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 appropriate face mask covering nose, eyes, ears and mouth from fingerprint images with the help of an intelligent model.
Keywords :
Web services; face recognition; fingerprint identification; neural nets; Internet; Web based face counter prediction system; Web based intelligent face mask prediction system; Web based system; artificial neural networks; biometric recognition techniques; online platform; only fingerprint images; Artificial intelligence; Artificial neural networks; Face; Face recognition; Feature extraction; Fingerprint recognition; Image matching; face; fingerprint; mask; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-4651-1
Type :
conf
DOI :
10.1109/ICMLA.2012.156
Filename :
6406754
Link To Document :
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