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Research Paper | Electronics & Communication Engineering | India | Volume 6 Issue 5, May 2017
Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition
Parul Gupta [2] | Neetu Gyanchandani
Abstract: Image Quality Assessment (IQA) is one of the statistical techniques used in image processing to determine whether the biometric sample is real or fake. The objective of the system is to enrich the biometric recognition security. This paper deals with two distinct measures of IQA. The first measure is Full-Reference (FR) IQA consists of a 2D image extracting different image quality features using a reference image which is filtered by a technique called Gaussian filtering. The second measure is No-Reference (NR) IQA used to estimate the quality level of an image. Eventually, 26 image quality features are exacted to minimize the degree of complexity. Quality of test sample implies to results of the following process of classification based on IQA. Presented paper briefly introduces the IQA theory and its measures.
Keywords: Image Quality Assessment IQA, biometrics, liveness detection
Edition: Volume 6 Issue 5, May 2017,
Pages: 2166 - 2169
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Research Paper, Electronics & Communication Engineering, Egypt, Volume 10 Issue 12, December 2021
Pages: 1281 - 1287Feature Level Fusion of Palmprint and Iris Images for Person Identification
May Essam | Fayez Wanis Zaki | Mervat El-Seddek
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Research Paper, Electronics & Communication Engineering, India, Volume 11 Issue 2, February 2022
Pages: 234 - 237Skin Segmentation at the Pixel Level Using Fully Convolutional Neural Network
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