NDLI: First approach for a computer-aided textile fiber type determination based on template matching using a 3D laser scanning microscope

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First approach for a computer-aided textile fiber type determination based on template matching using a 3D laser scanning microscope

Content Provider	ACM Digital Library
Author	Kraetzer, Christian Arndt, Christian Vielhauer, Claus
Abstract	One main goal of today's forensic textile fiber analysis is the classification of fiber traces. This can be achieved by forensic experts in manual analysis with the help of microscopy. However, this examination process, including an optical matching, is due to its manual nature very time consuming and therefore cost intensive. Considering that, we want to support forensic experts during the complex process of trace examination by adding signal processing methods for analysis and decision-making. In this paper we propose the introduction of computer-aided methods to speed up the process and make it more objective in terms of comparability of results and overall transparency. In our approach a 3D laser scanning microscope for surface measurement is utilized for contactless acquisition of physical textile fiber traces. Distinctive optical features are derived from digital images. Based on these distinguishing characteristics a matching process is introduced for the assignment to associated classes or categories. In this paper we utilize template matching methods in order to associate samples to different fiber types. The suitability of these methods is evaluated in context of forensic textile fiber authentication based on a first test-set composed of 45 samples divided in 3 classes. Our first experimental results show that fibers can be correctly assigned to their corresponding class based on template matching. However, the overall matching accuracy achieved here is only about 44% in an equally distributed 3-class-problem. The achieved matching results based on our newly designed feature set are momentarily not satisfying and thus require improvements, mainly by the design of new, discriminatory features.
Starting Page	57
Ending Page	66
Page Count	10
File Format	PDF
ISBN	9781450314176
DOI	10.1145/2361407.2361417
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Textile fiber type determination Computer-aided fiber analysis Template matching Crime scene forensics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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