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Title

Facial Images Quality Assessment based on ISO/ICAO S tandard Compliance Estimation by HMAX Model

Year: 1398
COI: JR_JIST-7-3_004
Language: EnglishView: 227
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Authors

Azamossadat Nourbakhsh - Science and Research Branch, Islamic Azad University, Tehran, Iran
Mohammad-Shahram Moin - IT Research Faculty, ICT Research Institute, Tehran, Iran
Arash Sharifi - Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract:

Facial images are the most popular biometrics in automated identification systems. Different methods have been introduced to evaluate the quality of these images. FICV is a common benchmark to evaluate facial images quality using ISO / ICAO compliancy assessment algorithms. In this work, a new model has been introduced based on brain functionality for Facial Image Quality Assessment, using Face Image ISO Compliance Verification (FICV) benchmark. We have used the Hierarchical Max-pooling (HMAX) model for brain functionality simulation and evaluated its performance. Based on the accuracy of compliancy verification, Equal Error Rate of ICAO requirements, has been classified and from those with higher error rate in the past researches, nine ICAO requirements have been used to assess the compliancy of the face images quality to the standard. To evaluate the quality of facial images, first, image patches were generated for key and non-key face components by using Viola-Jones algorithm. For simulating the brain function, HMAX method has been applied to these patches. In the HMAX model, a multi-resolution spatial pooling has been used, which encodes local and public spatial information for generating image discriminative signatures. In the proposed model, the way of storing and fetching information is similar to the function of the brain. For training and testing the model, AR and PUT databases were used. The results has been evaluated by FICV assessment factors, showing lower Equal Error Rate and rejection rate, compared to the existing methods.

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Paper COI Code

This Paper COI Code is JR_JIST-7-3_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1142419/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Nourbakhsh, Azamossadat and Moin, Mohammad-Shahram and Sharifi, Arash,1398,Facial Images Quality Assessment based on ISO/ICAO S tandard Compliance Estimation by HMAX Model,https://civilica.com/doc/1142419

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 30,722
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