Penyaringan dan pemilihan fitur statistik asas untuk pengecaman spesimen forensik balistik

Translated title of the contribution: Extraction and selection of basic statistical features for forensic ballistic specimen identification

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Firearms identification has been getting very important in crime investigation in the last two decades. In this paper, a recognition system for firearms identification based on cartridge case image is introduced. Cartridge case is one of the important clues towards solving the gun file. There are more than 30 marks left on the surface of the cartridge case when a gun is fired which are invaluable towards identifying the firearm used. These marks in combination produces a "fingerprint" for identification of a firearm. Therefore, the aim of this research work is towards extraction and identification of suitable features for firearms recognition. Firstly the cartridge case images are segmented into three parts, forming three sets of images. These images were also preprocessed to form three more sets of images. Features were extracted from these original and preprosessed. Twenty significant features each were identified and computed for the original and the preprocessed images. All processing were done using MATLAB programming. A scheme based on correlation analysis was introduced towards features selection based on the concept of minimising data redundancy but maximising classes' differences. Features that are highly correlated were dropped and eventually there are only seven significant features. The seven features formed a feature vector for the fireams recognition and were tested on five pistols of the same model using discriminant analysis. The classification results show that more than 80% of the cartridge case images were classified correctly.

Original languageUndefined/Unknown
Pages (from-to)249-260
Number of pages12
JournalSains Malaysiana
Volume38
Issue number2
Publication statusPublished - Apr 2009

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Crime
Discriminant analysis
Ballistics
MATLAB
Redundancy
Feature extraction
Processing

Keywords

  • Cartridge case image
  • Correlation analysis
  • Discriminant analysis
  • Feature
  • Firearms

ASJC Scopus subject areas

  • General

Cite this

Penyaringan dan pemilihan fitur statistik asas untuk pengecaman spesimen forensik balistik. / Ghani, Nor Azura Md; Liong, Choong Yeun; Jemain, Abdul Aziz.

In: Sains Malaysiana, Vol. 38, No. 2, 04.2009, p. 249-260.

Research output: Contribution to journalArticle

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