A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic Similarity Article Swipe
Rishita Khurana
,
Madhulika Bhatia
,
Manika Battan
,
Nripendra Narayan Das
,
Minakshi Memoria
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18280/isi.280211
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18280/isi.280211
The dependence on images for face detection and identity verification was at odds with broad assessment which showed that coordinating with sets of non-similar images was profoundly inclined to make mistakes.The current passport management lacks security of data and requires more manpower and time, manual calculations, and verification of documents as well as the photographs.Additionally, the computerized passport examination requires accurate processing in order to carry out crucial tasks like identifying passport forgeries, looking for wanted criminals, or finding those who are ineligible for immigration, among other things because the utilization of fake passports addresses a huge danger to the security of the nation.Therefore, the purpose of this paper is to enhance the identity verification process in passport management.The paper comprises implementation of various technologies and technology driven models for serving its purpose by using the latest and efficient techniques that includes neural networks, face detection, image similarity, ROI (region of interest) and model scaling.The dataset utilized in the paper was self-prepared by the authors and consisted of 5 images each for 10 different individuals.It had been trained from scratch on different models based on CNN architecture.Out of all the three models used for training, the model that resulted in highest accuracy was further considered for research.EfficientNetB0 resulted in 82% accuracy being the highest out of all the three models.The threshold for the model was thereby calculated using z-score which compared the similarity scores and classified the images as similar or non-similar.Therefore, it can be concluded that the techniques utilized in the paper are efficient enough to determine the similarity of an image with its corresponding image.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18280/isi.280211
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- OA Status
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Raw OpenAlex JSON
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https://openalex.org/W4376869521Canonical identifier for this work in OpenAlex
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https://doi.org/10.18280/isi.280211Digital Object Identifier
- Title
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A Proposed Framework for Identity Verification in Passport Management Using Model Scaling and Semantic SimilarityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-30Full publication date if available
- Authors
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Rishita Khurana, Madhulika Bhatia, Manika Battan, Nripendra Narayan Das, Minakshi MemoriaList of authors in order
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https://doi.org/10.18280/isi.280211Publisher landing page
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https://www.iieta.org/download/file/fid/96677Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://www.iieta.org/download/file/fid/96677Direct OA link when available
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Similarity (geometry), Computer science, Identity (music), Scaling, Semantic similarity, Natural language processing, Artificial intelligence, Mathematics, Image (mathematics), Physics, Acoustics, GeometryTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.driven | 127 |
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| abstract_inverted_index.images | 3, 24, 169, 237 |
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| abstract_inverted_index.things | 87 |
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| abstract_inverted_index.z-score | 228 |
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| abstract_inverted_index.accurate | 60 |
| abstract_inverted_index.compared | 230 |
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| abstract_inverted_index.inclined | 27 |
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| abstract_inverted_index.manpower | 41 |
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| abstract_inverted_index.requires | 39, 59 |
| abstract_inverted_index.resulted | 198, 207 |
| abstract_inverted_index.security | 35, 100 |
| abstract_inverted_index.utilized | 156, 249 |
| abstract_inverted_index.addresses | 94 |
| abstract_inverted_index.comprises | 120 |
| abstract_inverted_index.concluded | 245 |
| abstract_inverted_index.consisted | 166 |
| abstract_inverted_index.detection | 6 |
| abstract_inverted_index.determine | 257 |
| abstract_inverted_index.different | 173, 181 |
| abstract_inverted_index.documents | 49 |
| abstract_inverted_index.efficient | 138, 254 |
| abstract_inverted_index.interest) | 151 |
| abstract_inverted_index.networks, | 143 |
| abstract_inverted_index.passports | 93 |
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| abstract_inverted_index.classified | 235 |
| abstract_inverted_index.considered | 204 |
| abstract_inverted_index.criminals, | 76 |
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| abstract_inverted_index.detection, | 145 |
| abstract_inverted_index.forgeries, | 72 |
| abstract_inverted_index.ineligible | 82 |
| abstract_inverted_index.management | 33 |
| abstract_inverted_index.models.The | 219 |
| abstract_inverted_index.processing | 61 |
| abstract_inverted_index.profoundly | 26 |
| abstract_inverted_index.similarity | 232, 259 |
| abstract_inverted_index.techniques | 139, 248 |
| abstract_inverted_index.technology | 126 |
| abstract_inverted_index.examination | 58 |
| abstract_inverted_index.identifying | 70 |
| abstract_inverted_index.non-similar | 23 |
| abstract_inverted_index.scaling.The | 154 |
| abstract_inverted_index.similarity, | 147 |
| abstract_inverted_index.utilization | 90 |
| abstract_inverted_index.computerized | 56 |
| abstract_inverted_index.coordinating | 19 |
| abstract_inverted_index.immigration, | 84 |
| abstract_inverted_index.mistakes.The | 30 |
| abstract_inverted_index.technologies | 124 |
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| abstract_inverted_index.individuals.It | 174 |
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| abstract_inverted_index.architecture.Out | 186 |
| abstract_inverted_index.nation.Therefore, | 103 |
| abstract_inverted_index.non-similar.Therefore, | 241 |
| abstract_inverted_index.research.EfficientNetB0 | 206 |
| abstract_inverted_index.photographs.Additionally, | 54 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.56474131 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |