2016
DOI: 10.5120/ijca2016912470
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Sclera Pattern Recognition for Identification

Abstract: In this paper a delineate the new human identification method is proposed: sclera recognition technique. Due to the uniqueness of the sclera pattern, it can be used as identification in place of code, fingerprint, face recognition and voice recognition. To distinguish different patterns, some tonal and illumination corrections are performed to get a clear sclera area without disturbing the vessel pattern structure [8]. This paper aims at developing a new method for sclera segmentation which works for both colo… Show more

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Cited by 1 publication
(1 citation statement)
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“…[26] proposed a novel sclera segmentation based on machine learning techniques that operates at pixel-level. The proposed approach employs three feature types: statistical image features, Zernike Moments and Histogram of Gradients (HoG)-like features [27], automated sclera segmentation system with occluded eye detection and Gabor wavelet filter and kernel function for smoothing [28], Fuzzy Clustering Means (FCM) based segmentation has been proposed, Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDHE) is used to enhance the sclera vessel patterns. The work from [23] performed by Fuzzy Cmeans clustering to segment sclera and Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDHE) with Discrete Meyer to enhance the sclera vessel patterns.…”
Section: Related Literaturementioning
confidence: 99%
“…[26] proposed a novel sclera segmentation based on machine learning techniques that operates at pixel-level. The proposed approach employs three feature types: statistical image features, Zernike Moments and Histogram of Gradients (HoG)-like features [27], automated sclera segmentation system with occluded eye detection and Gabor wavelet filter and kernel function for smoothing [28], Fuzzy Clustering Means (FCM) based segmentation has been proposed, Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDHE) is used to enhance the sclera vessel patterns. The work from [23] performed by Fuzzy Cmeans clustering to segment sclera and Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDHE) with Discrete Meyer to enhance the sclera vessel patterns.…”
Section: Related Literaturementioning
confidence: 99%