Benner
أ.هند رستم شعبان ( أستاذ )
كلية علوم الحاسوب والرياضيات - الحاسوب
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Histogram-Based Correlative Face Recognition Measure: A Comparison with Structural Similarity
بحث النوع:
علوم التخصص العام:
Ali Nazim اسم الناشر:
Zahir M. Hussain, Hind Rustum Mohammed اسماء المساعدين:
First International Conference on Scientific Studies and Humanities. الجهة الناشرة:
University College of Humanities (UCH), Najaf, Iraq, 19-20 April 2016  
2016 سنة النشر:

الخلاصة

Abstract This work presents a new holistic measure for face recognition. The measure is based on the correlation between the reference image histogram and the histograms of the faces in a database. Performance is measured using a confidence criterion based on the distance between the recognized person and the next possible ambiguity. Simulation results showed that the proposed measure exceeds the well-known Structural Similarity (SSIM) measure by far. Keywords: Histogram; Correlation Coefficient; Structural Similarity (SSIM); face recognition; Image Processing