Image enciphering based on DNA Exclusive-OR operation union with chaotic maps

Alshibani, Dina Riadh; Qassir, Samar Amil

doi:10.1109/aic-mitcsa.2016.7759944

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“…Technology and security are growing nowadays [1], [2]. Biometric techniques are a modern and effective way to achieve the goals of the security field.…”

Section: Introductionmentioning

confidence: 99%

Facial Feature Crop Detection Based on Haar Feature and AdaBoost Training

George¹,

Mohammad²,

Ahmed³

2020

Journal of Southwest Jiaotong University

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The advance of technology has created a demand on face detection, which is the first phase in face recognition, one of the important biometric technologies. In this research, the Facial Feature Crop Detection Based on Haar Feature and Adaboost Training framework is presented. The framework’s objective is to detect face crops and each facial feature’s crop like eye, mouth and nose crops; the framework depends on using Haar-like features and the AdaBoost learning algorithm. This algorithm has been chosen according to its computational effectiveness and easiness. The presented framework was tested on a dataset containing 500 colour images of faces collected from the FERET database. The training achieved 100% accuracy and 98.8% achieved for the testing set.

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“…Technology and security are growing nowadays [1], [2]. Biometric techniques are a modern and effective way to achieve the goals of the security field.…”

Section: Introductionmentioning

confidence: 99%