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effectiveness of new algorithms for facial recognition based on deep neural networks
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نویسنده
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laith shahad ,tahir fouad shaker ,abdulrahman asma abdulelah
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منبع
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international journal of nonlinear analysis and applications - 2022 - دوره : 13 - شماره : 1 - صفحه:2171 -2178
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چکیده
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The applications of image classification occupied a wide field in the recognition of faces using the convolutional neural network (cnn) with the mathematical aspect of deep learning based on the matlab program. this is not only facial recognition, but also recognizing the parts of the face, eye, mouth, and nose after designing programs in addition to the new algorithms with the theory of cascadeobjectdetector and traincascadeobjectdetector. the benefit of this work emerges in the areas of security, airports, markets, and so on.
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کلیدواژه
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convolutional ,neural networks ,face detection ,matlab ,eyes ,mouth ,nose ,deep learning
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آدرس
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university of technology, department of applied science, iraq, university of technology, department of applied science, iraq, university of technology, department of applied science, iraq
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پست الکترونیکی
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asma.a.abdulrahman@uotechnology.edu.iq
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Authors
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