Statistical Image Quality Assessment for Fake Biometric Detection Based on SVM Classification: Application to Iris, and Face Recognition

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Provided by: International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET)
Topic: Security
Format: PDF
Image quality assessment plays an important role in the performance of biometric system involving iris and face images. Data quality assessment is a key issue in order to broaden the applicability of iris and face biometrics to unconstrained imaging conditions. In this paper, the authors have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. Biometric systems based on iris and face is vulnerable to direct attacks consisting on the presentation of a fake iris to the sensor.
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