Data forensics analysis on biometric images using Benford's law and support vector machine algorithm
The manipulation of biometric data has become a prominent topic, leading to the development and exploration of methods for detecting such manipulation. This study utilizes a combination of Benford’s law, an image quantization to analyze the fingerprint images processing associated with biometric...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/118377/ http://psasir.upm.edu.my/id/eprint/118377/1/118377.pdf |
| Summary: | The manipulation of biometric data has become a prominent topic, leading to
the development and exploration of methods for detecting such manipulation.
This study utilizes a combination of Benford’s law, an image quantization to
analyze the fingerprint images processing associated with biometric data. The
aim is to propose a mechanism for detecting data manipulation, particularly
when one biometric sample is substituted for another in an application,
whether intentionally or unintentionally. The study focuses on differentiating
between biometric samples and investigating the modification of fingerprint
images. To achieve this, the Benford legal difference scale is applied to
fingerprints digitally obtained, industrially created fingerprints, contactless
acquired fingerprints to search for separation modes. Benford’s law has been
successful in determining the alteration of landscape images in previous
studies, and this study combines Benford’s law elements with a SVM (Support
Vector Machine) to identify malicious alterations in JPEG fingerprint images.
The proposed strategy is intended to safeguard against internal threats. |
|---|