2017 5th International Workshop on Biometrics and Forensics (IWBF) 2017
DOI: 10.1109/iwbf.2017.7935094
|View full text |Cite
|
Sign up to set email alerts
|

Sensor dependency in efficient fingerprint image protection using selective JPEG2000 encryption

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…To detect the encryption location in the codestream with the biggest impact on the biometric recognition we are applying a "Sliding Window Encryption" [8,9,10,11]. In this method a window, i.e., a certain continuous percentage of the codestream size, is encrypted starting at a given offset.…”
Section: Evaluation Methodologymentioning
confidence: 99%
“…To detect the encryption location in the codestream with the biggest impact on the biometric recognition we are applying a "Sliding Window Encryption" [8,9,10,11]. In this method a window, i.e., a certain continuous percentage of the codestream size, is encrypted starting at a given offset.…”
Section: Evaluation Methodologymentioning
confidence: 99%
“…In recent work (i.e. [7,16]) different ways how to apply encryption to different parts of a fingerprint-image JPEG2000 codestream have been designed and analysed, which are also adopted for this work.…”
Section: Selective Jpeg2000 Encryption Approachesmentioning
confidence: 99%
“…• "Windowed Encryption": Is operated by moving a fixed encryption window (of the size of some percent of the filesize, successively increased in the experiments) across the packet data. While the percentage of encrypted data does not change in one run of the experiments, only the position of the window (the offset) is changed in fixed steps within packet data [16].…”
Section: Selective Jpeg2000 Encryption Approachesmentioning
confidence: 99%