Study on enhanced deep learning approaches for value-added identification and segmentation of striation marks in bullets for precise firearm classification-Reference-Cited by-同舟云学术

Study on enhanced deep learning approaches for value-added identification and segmentation of striation marks in bullets for precise firearm classification

Published:2021-11 Issue: Volume:112 Page:107789
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dutta Subrat K.,Saikia Sudarshan^ORCID,Barman Abhilasa,Roy Ritumoni,Bora Kangkana^ORCID,Mahanta Lipi B.,Suresh R.

Publisher

Elsevier BV

Subject

Software

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3. Digital enhancement of bullet striation marks by image processing techniques;Nigam;Int. J. Adv. Res. Comput. Sci. Manag. Stud.,2014

4. On the study of automated identification of firearms through associated striations;Changmai,2021

5. Bullet castings: Recovery of striations;Fowble,2020

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