A Deep Learning Approach for Recognition Systems (Paperback)

Language: English

Published by Our Knowledge Publishing, 2026

6630447387 / 9786630447385

  • Softcover
  • New
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Paperback. Biometrics is emerging as one of the most reliable solutions for identifying individuals in modern security systems. Unlike passwords, it relies on physiological characteristics unique to each person, offering a higher level of security.This book focuses on two promising modalities: finger veins and palm prints. While stable and difficult to forge, they remain sensitive to variations in lighting and the quality of the captured images. An approach combining deep learning and machine learning is proposed. Features are extracted using pre-trained convolutional neural networks (VGG16, VGG19, MobileNetV2) and then refined through \textit{fine-tuning}. SVM, KNN, and Random Forest classifiers are then applied, with a comparison between single-instance and multi-instance approaches. MobileNetV2 offers the best performance in terms of accuracy and efficiency. The multi-instance approach enhances the system's robustness, while SVM stands out for its recognition accuracy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Seller Inventory # 9786630447385

Title
A Deep Learning Approach for Recognition Systems (Paperback)
Author
Cheyma Nadir
Publisher
Our Knowledge Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6630447387
ISBN 13
9786630447385

Grand Eagle Retail

Bensenville, IL, U.S.A.

5-star seller

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