Content-Based Feature Extraction and Extreme Learning Machine for Optimizing File Cluster Types Identification
Recent research in digital forensic attempts to classify image clusters into JPEG or non-JPEG clusters before recovering JPEG image files. This issue might improve the recovering JPEG image accuracy and reduce the processing time. In this work, three content-based feature extraction methods are used...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Springer Science and Business Media Deutschland GmbH
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |
Be the first to leave a comment!