Biometric Inverse Problems: A Comprehensive Guide
Biometric inverse problems are a type of mathematical problem that arises in the field of biometrics. Biometrics is the study of using unique physical or behavioral characteristics to identify individuals. Biometric inverse problems involve using these characteristics to reconstruct an individual's identity.
5 out of 5
Language | : | English |
File size | : | 13914 KB |
Print length | : | 416 pages |
Screen Reader | : | Supported |
X-Ray for textbooks | : | Enabled |
Biometric inverse problems are typically solved using image processing and pattern recognition techniques. These techniques can be used to extract features from biometric data, such as fingerprints, facial images, and iris scans. These features can then be used to reconstruct an individual's identity using a variety of mathematical models.
Biometric inverse problems have a wide range of applications, including:
- Identity verification
- Person identification
- Forensics
- Medical diagnosis
- Biometric security
This comprehensive guide to biometric inverse problems provides a thorough overview of the field, from basic concepts to advanced applications. The book is written by Michelle Hawkins, a leading expert in the field of biometrics. The book is divided into three parts:
- Part I: to Biometric Inverse Problems
- Part II: Advanced Topics in Biometric Inverse Problems
- Part III: Applications of Biometric Inverse Problems
Part I of the book provides an to the basic concepts of biometric inverse problems. This part of the book covers topics such as:
- The definition of a biometric inverse problem
- The different types of biometric inverse problems
- The mathematical models used to solve biometric inverse problems
- The applications of biometric inverse problems
Part II of the book covers advanced topics in biometric inverse problems. This part of the book covers topics such as:
- The use of machine learning to solve biometric inverse problems
- The use of deep learning to solve biometric inverse problems
- The use of convolutional neural networks to solve biometric inverse problems
- The use of generative adversarial networks to solve biometric inverse problems
Part III of the book covers applications of biometric inverse problems. This part of the book covers topics such as:
- The use of biometric inverse problems in identity verification
- The use of biometric inverse problems in person identification
- The use of biometric inverse problems in forensics
- The use of biometric inverse problems in medical diagnosis
- The use of biometric inverse problems in biometric security
This comprehensive guide to biometric inverse problems is an essential resource for anyone working in the field of biometrics. The book provides a thorough overview of the field, from basic concepts to advanced applications. The book is written by a leading expert in the field of biometrics and is packed with valuable information.
If you are interested in learning more about biometric inverse problems, then this is the book for you.
Free Download your copy today!
5 out of 5
Language | : | English |
File size | : | 13914 KB |
Print length | : | 416 pages |
Screen Reader | : | Supported |
X-Ray for textbooks | : | Enabled |
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5 out of 5
Language | : | English |
File size | : | 13914 KB |
Print length | : | 416 pages |
Screen Reader | : | Supported |
X-Ray for textbooks | : | Enabled |