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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2017

An automated ear localization technique based on modified hausdorff distance

The record

Type
Publication
Date
1 January 2017
Level
National
Journal
Advances in Intelligent Systems and Computing
Volume
460 AISC
Pages
229-240
Published
1 January 2017
DOI
10.1007/978-981-10-2107-7_21
Scopus ID
85009477189
ISSN
21945357
Authors
4
Open access
No
Citations
19
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

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Automated ear localization using modified Hausdorff distance for biometric recognition systems demonstrating robust image processing and pattern matching research innovation

    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
  2. 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

    GoalSecondaryModerate confidenceJudged

    Biometric ear recognition technology applicable for identity verification and security systems supporting justice and institutional accountability mechanisms

    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

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Development of computer vision algorithms for biometric identification using advanced image processing contributing to digital technology advancement

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “An automated ear localization technique based on modified hausdorff distance”. Kortex.

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