Assessment and Improvement of Image Quality using Biometric Techniques for Face Recognition
Journal: International Journal of Computational Engineering Research(IJCER) (Vol.6, No. 7)Publication Date: 2016-07-31
Authors : Rupali Patil; Aarti Deshpande;
Page : 26-30
Keywords : Image quality assessment; biometrics; face recognition.;
Abstract
Biometrics is broadly used in Forensic, highly secured control access and prison security. By making use of this system one can recognizes a person by determining the authentication by his or her biological and physiological features such as Fingerprint, retina-scan, iris scans and face recognition. The determination of the characteristic function of quality and match scores shows that a careful selection of complimentary sets of quality metrics can provide much more benefit to various benefits of biometric quality. Face recognition is a challenging approach to the image quality analysis and many more security applications. Biometric face recognition is the well known technology which is used by the government and civilian applications such Aadhar cards, Pan cards etc. Face recognition is a Behavioral and physiological feature of a human being. Nowadays the quality of an biometric image is the measure concern. There are many factors which are directly or indirectly affects on the image quality hence improvement in image quality has to be done by making the use of some biometric techniques for face recongnion.This paper presents some important techniques for fake biometric detection and improvement of facial image quality.
Other Latest Articles
- The Research of the Tracking and Traceability System for Vegetable Quality Assessment and Assurance
- Experimental Study Compared With American Code - ConcreteFilled ? Double Skin Circular Tubular Steel Concrete Column
- Smes Traditional Packaging Technology as a Part of Building Brand Soul of Product
- Online Examination System using Raspberry pi
- Medium Access Probability of Cognitive Radio Network Under ECC-33/Hata-Okumura Extended Model Using Different Fading Channels at 1900MHz and 2100MHz
Last modified: 2016-09-17 18:09:08