Facial recognition metrics

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Face recognition has become an interesting research area in the recent era, and blends knowledge from various disciplines such as neuroscience, psychology, statistics, data mining, computer vision, pattern recognition, image processing, and machine learning. A new opportunity is obtained using the application of statistical methods for evaluating the performance of the system. Evaluation methods are the yardstick to examine the efficiency and performance of any face recognition system. Methods for performance evaluation seek to distinguish, compare, and interpret the various factors such as characteristics of subjects, location, illumination, and images. In this chapter, we show how to adapt popular performance measures commonly used in face recognition research, including—precision, recall, F-measure, fallout, accuracy, efficiency, sensitivity, specificity, error rate, receiver operating characteristics ROC.
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Face Recognition: Demystification of Multifarious Aspect in Evaluation Metrics

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CSDL | IEEE Computer Society

In this paper, we analyze the two factors for FIR in following steps. First, the face images are aligned to the same size, moreover, their illumination is balanced. Second, we extract classic features widely used in face recognition and retrieval, then utilize them in feature matching with different metrics. At last, face retrieval is performed based on the distances calculated with multiple metrics. Experimental results not only serves to select features and metrics for FIR, they also demonstrate that the two variables affect FR and FIR in different ways. Unable to display preview. Download preview PDF.
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Analysis on Features and Metrics in Face Image Retrieval System

To make it the best user experience for you to work with the website, select your language. Dear all! As we promised last time, please, meet these rather useful we hope notes on How to Evaluate Face Recognition Software, on behalf of our software engineering and biometrics research team. Neural network face recognition has recently gotten a lot of attention from business and government interests, as it provides a plethora of obvious advantages. We at NtechLab constantly get inquiries, testing requests, and pilot projects based on our latest technology and recognition techniques.
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