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Fingermark quality assessment framework with classic and deep learning ensemble models

Research article (Knowledge-Based Systems, 2022) · cited 20× · AI/ML
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Fingermark quality assessment framework with classic and deep learning ensemble models

Summary

Fingermark quality assessment framework with classic and deep learning ensemble models is a scholarly article[1].

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  • Fingermark quality assessment framework with classic and deep learning ensemble models's instance of is recorded as scholarly article[2].

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Peter Peer

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fingermark quality assessment framework with classic and deep learning ensemble models. Retrieved May 24, 2026, from https://4ort.xyz/entity/fingermark-quality-assessment-framework-with-classic-and-deep-learning-ensemble-models
MLA “Fingermark quality assessment framework with classic and deep learning ensemble models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fingermark-quality-assessment-framework-with-classic-and-deep-learning-ensemble-models.
BibTeX @misc{4ortxyz_fingermark-quality-assessment-framework-with-classic-and-deep-learning-ensemble-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fingermark quality assessment framework with classic and deep learning ensemble models}}, year = {2026}, url = {https://4ort.xyz/entity/fingermark-quality-assessment-framework-with-classic-and-deep-learning-ensemble-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fingermark quality assessment framework with classic and deep learning ensemble models — https://4ort.xyz/entity/fingermark-quality-assessment-framework-with-classic-and-deep-learning-ensemble-models (retrieved 2026-05-24)

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