Publication2022
A feature-level fusion based improved multimodal biometric recognition system using ear and profile face
The record
- Type
- Publication
- Date
- 1 April 2022
- Level
- National
- Journal
- Journal of Ambient Intelligence and Humanized Computing
- Volume
- 13
- Issue
- 4
- Pages
- 1867-1898
- Published
- 1 April 2022
- DOI
- 10.1007/s12652-021-02952-0
- Scopus ID
- 85101790061
- ISSN
- 18685137
- Authors
- 4
- Open access
- No
- Citations
- 50
- 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
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Multimodal biometric ear and profile face recognition using feature-level fusion improves identity verification accuracy and security.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Deep learning biometric methods advance computer vision and pattern recognition research capacity.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Biometric security systems enhance institutional security and personal identity protection for institutional accountability.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A feature-level fusion based improved multimodal biometric recognition system using ear and profile face”. Kortex.