An Improved Low Contrast Image in Normalization Process for Iris Recognition System

Ghali, Abdulrahman Aminu; Jamel, Sapiee; Mohamad, Kamaruddin Malik; Khalid, Shamsul Kamal Ahmad; Pindar, Zahraddeen Abubakar; Deris, Mustafa Mat

doi:10.1007/978-3-319-72550-5_47

Cited by 4 publications

(2 citation statements)

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“…is function was intended to change the grey levels to increase the image contrast and highlight the iris texture (Figure 9(c)) that represented the relevant characteristics of the human eye [30].…”

Section: Iris Normalisation and Enhancementmentioning

confidence: 99%

“…Claudio et al [12] successfully detected the iris in its coronal axis in order to remedy errors of iris location in different positions. Other works mainly remedied problems of poor light distribution and focused on contrast correction [13,30]. We concentrated on carrying out an approach that guides the user to the correct head position during the acquisition phase in order to refine the stage of signature extraction.…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Head-Pose Estimation for Smart Iris Recognition from a Calibrated Camera

Akrout

Fakhfakh

2020

Mathematical Problems in Engineering

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Current research in biometrics aims to develop high-performance tools, which would make it possible to better extract the traits specific to each individual and to grasp their discriminating characteristics. This research is based on high-level analyses of images, captured from the candidate to identify, for a better understanding and interpretation of these signals. Several biometric identification systems exist. The recognition systems based on the iris have many advantages and they are among the most reliable. In this paper, we propose a new approach based on biometric iris authentication. A new scheme was made in this work that consists of calculating a three-dimensional head pose to capture a good iris image from a video sequence which affects the identification results. From this image, we were able to locate the iris and analyse its texture by intelligent use of Meyer wavelets. Our approach was evaluated and approved through two databases CASIA Iris Distance and MiraclHB. The comparative study showed its effectiveness compared to those in the literature.

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Section: Iris Normalisation and Enhancementmentioning

confidence: 99%