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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NOT PEER REVIEWED

Authors

Kishore Kumar Senapati1 , Vani A Hiremani2
  1. Birla Instituteof Technology
  2. Birla Institute of Technology

Conference / event

1st Research Scholar Colloquim, August 2019 (Ranchi, India)

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.

Keywords

Human intelligence, Machine intelligence, Visual system, Classification, Facial feature, Geographical region

Research areas

Computer and Information Science , Systems Science

References

No data provided

Funding

No data provided

Supplemental files

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Additional information

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K., Hiremani, V. Analysis of Human Intelligence in Identifying Persons Native Through the Features of Facial Image [not peer reviewed].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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