Browsing by Author "Bowyer, Kevin W."
Now showing items 1-6 of 6
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(Institute of Electrical and Electronics Engineers, 2019)The development of new methods for biometrics using the 3-D surface of the iris could be useful in various applications, such as reliable identity verification of people, when only segments of the iris are available, the ...
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(Universidad de Chile, 2015)Face recognition is one of the most active areas of research in computer vision because of its wide range of possible applications in person identification, access control, human computer interfaces, and video search, among ...
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(Elsevier, 2015)Face recognition is one of the most active areas of research in computer vision. Gabor features have been used widely in face identification because of their good results and robustness. However, the results of face ...
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(Universidad de Chile, 2015)El uso de imágenes de rostros o iris para estimar información demográfica, tal como género, raza, edad y emociones se denomina Soft Biometrics . En un marco de reconocimiento biométrico, la información de género nos puede ...
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(IEEE, 2022)Iris is one of the most accurate biometrics. This has led to the successful development of large-scale applications. However, with population growth, and new international applications, datasets are constantly increasing ...
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(IEEE-Inst Electrical Electronics Engineers, 2021)The aim of Neuroevolution is to nd neural networks and convolutional neural network (CNN) architectures automatically through evolutionary algorithms. A crucial problem in neuroevolution is search time, since multiple ...
