Publication2015
A novel algorithm for suppression of salt and pepper impulse noise in fingerprint images using B-spline interpolation
The record
- Type
- Publication
- Date
- 1 January 2015
- Level
- National
- Journal
- Advances in Intelligent Systems and Computing
- Volume
- 328
- Pages
- 521-528
- Published
- 1 January 2015
- DOI
- 10.1007/978-3-319-12012-6_57
- Scopus ID
- 84919359998
- ISSN
- 21945357
- Authors
- 3
- Open access
- No
- Citations
- 3
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Novel B-spline interpolation algorithm for fingerprint image noise suppression achieves effective salt-pepper noise removal across 15-95% noise levels for biometric forensics.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Image processing algorithm development represents digital technology innovation for biometric security.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A novel algorithm for suppression of salt and pepper impulse noise in fingerprint images using B-spline interpolation”. Kortex.