Название: Computer Vision and Image Analysis for Industry 4.0Автор: Nazmul Siddique, Mohammad Shamsul Arefin, Atiqur Rahman Ahad
Издательство: CRC Press
Год: 2023
Страниц: 214
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB
Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate Computer Vision and image analysis techniques. The more advancement in innovation and research in Computer Vision and image processing, the greater the efficiency of machines as well as humans. A Deep Learning Approach in Detailed Fingerprint Identification: Fingerprints, as one of the most acceptable biometrics, has a significant use for security purposes. In today’s world, fingerprints are utilized in criminal investigations for identification purposes. Fingerprints can be used to identify a person’s gender, hand, finger, and other relevant aspects. The required time and effort in identifying an individual can be reduced by gender, hand, and finger classifications using fingerprints. In this chapter, a very simple model based on Convolutional Neural Networks (CNNs) is proposed to classify fingerprints by gender, hand, and finger. Convolutional Neural Network has achieved significant performance in image classification due to its ability for extraction of prominent features from complex images.
Название: Facilmente Uncinetto 
Название: Applied Intelligence for Industry 4.0
