Zernike Moment-Based Feature Extraction for Facial Recognition of Identical Twins
نویسندگان
چکیده
منابع مشابه
Zernike Moment-based Feature Extraction for Facial Recognition of Identical Twins
Face recognition is one of the most challenging problems in the domain of image processing and machine vision. The face recognition system is critical when individuals have very similar biometric signature such as identical twins. In this paper, new efficient facial-based identical twins recognition is proposed according to geometric moment. The utilized geometric moment is Zernike Moment (ZM) ...
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Face recognition is one of the most challenging problems in the domain of image processing and machine vision. Face recognition system is critical when individuals have very similar biometric signature such as identical twins. In this paper, new efficient facial-based identical twins recognition is proposed according to the geometric moment. The utilized geometric moment is Pseudo-Zernike Momen...
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Local representations became popular for facial affect recognition as they efficiently capture the image discontinuities, which play an important role for interpreting facial actions. We propose to use Local Zernike Moments (ZMs) [4] due to their useful and compact description of the image discontinuities and texture. Their main advantage in comparison to well-established alternatives such as L...
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Compound character recognition of Devanagari script is one of the challenging tasks since the characters are complex in structure and can be modified by writing combination of two or more characters. These compound characters occurs 12 to 15% in the Devanagari Script. The moment based techniques are being successfully applied to several image processing problems and represents a fundamental too...
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Distinguishing identical twins using their face images is a challenge in biometrics. The goal of this study is to construct a biometric system that is able to give the correct matching decision for the recognition of identical twins. We propose a method that uses feature-level fusion, score-level fusion, and decision-level fusion with principal component analysis, histogram of oriented gradient...
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ژورنال
عنوان ژورنال: International Journal of Computer Science, Engineering and Information Technology
سال: 2013
ISSN: 2231-3605,2231-3117
DOI: 10.5121/ijcseit.2013.3601