Pilot study of feature-based algorithm for breech face comparison.

Abstract:

:A novel feature-based method, which is scale invariant feature transform (SIFT) and RANdom SAmple Consensus (RANSAC) integration algorithm, is introduced to promote the automated identification of the breech face impression, the most common mark left on the cartridge used for firearm evidence. SIFT algorithm is employed to extract the local extrema from examined impression as keypoints representing its invariant features, and to build the feature descriptor for each keypoint based on its local gradients in neighborhood. RANSAC is used to improve the matching performance among these keypoints and feature descriptors. With hypothesize-and-verify methods, RANSAC is able to construct the best model fitting initial matching pairs of keypoints and to guarantee the robust comparison result. Validation tests using 40 cartridge cases fired from pistols with 10 consecutively manufactured slides yielded a clear separation result, which strongly supports the effectiveness of the ensemble algorithm of SIFT and RANSAC. This application indicates the practical feasibility of feature-based algorithm and image processing technique in forensic science.

journal_name

Forensic Sci Int

authors

Zhang H,Gu J,Chen J,Sun F,Wang H

doi

10.1016/j.forsciint.2018.02.026

subject

Has Abstract

pub_date

2018-05-01 00:00:00

pages

148-154

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(18)30080-X

journal_volume

286

pub_type

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