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Analysis of Human Intelligence in Identifying Persons Native Through the Features of Facial Image
PUBLISHED October 05, 2022 (DOI: https://doi.org/10.54985/peeref.2210p5833587)
NOT PEER REVIEWED
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Authors
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Kishore Kumar Senapati1 , Vani A Hiremani2
- Birla Instituteof Technology
- Birla Institute of Technology
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Conference / event
- 1st Research Scholar Colloquim, August 2019 (Ranchi, India)
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Poster summary
- In computer vision Image Classification is a challenging task and at present its accuracy is not high enough because of large number of redundant information and features. Hence primary focus should be on how human intelligence works on image classification rather than training the machine for the image classification. So to strengthen classification, a new approach of classifying a person geographical region wise based on facial feature is addressed by inculcating human intellect.
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Keywords
- Human intelligence, Machine intelligence, Visual system, Classification, Facial feature, Geographical region
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Research areas
- Computer and Information Science , Systems Science
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References
- No data provided
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Funding
- No data provided
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Supplemental files
- No data provided
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Additional information
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- Competing interests
- No competing interests were disclosed.
- Data availability statement
- The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.
- Creative Commons license
- Copyright © 2022 Senapati et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Senapati, K., Hiremani, V. Analysis of Human Intelligence in Identifying Persons Native Through the Features of Facial Image [not peer reviewed]. Peeref 2022 (poster).
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