A novel approach to optimize crime investigation process using palmprint recognition

Janitha R. Karunawallabha; Thilini I. Wijesiriwardene; Vajisha U. Wanniarachchi; Anuja T. Dharmaratne; Damitha Sandaruwan

doi:10.1109/ICTer.2013.6761201

A novel approach to optimize crime investigation process using palmprint recognition

Janitha R. Karunawallabha
, Thilini I. Wijesiriwardene
, Vajisha U. Wanniarachchi
, Anuja T. Dharmaratne
, Damitha Sandaruwan

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

1 Citation (Scopus)

Abstract

A crime investigation is generally carried out to aid the crime solving process by identifying criminals and in some cases victims. Print evidence plays a crucial part in identifying criminals or suspects. According to Sri Lankan Criminal Records, 30%-35% of the print evidences are in the form of partial palmprints. Partial-to-full palmprint matching has attracted the experts in print identification area and researchers in palmprint matching. An efficient partial palmprint identification approach can increase the efficiency of the criminal investigation process in Sri Lanka as well as in other countries.

Original language	English
Title of host publication	2013 International Conference on Advances in ICT for Emerging Regions
Pages	287
Number of pages	1
DOIs	https://doi.org/10.1109/ICTer.2013.6761201
Publication status	Published - 2013
Externally published	Yes
Event	International Conference on Advances in ICT for Emerging Regions 2013 - Colombo, Sri Lanka Duration: 11 Dec 2013 → 15 Dec 2013 Conference number: 14th https://ieeexplore.ieee.org/xpl/conhome/6747516/proceeding (Proceedings)

Conference

Conference	International Conference on Advances in ICT for Emerging Regions 2013
Abbreviated title	ICTer 2013
Country/Territory	Sri Lanka
City	Colombo
Period	11/12/13 → 15/12/13
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6747516/proceeding (Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Minutiae matching
Palmprint classification
Palmprint segmentation
Partial palmprint recognition

Access to Document

10.1109/ICTer.2013.6761201

Cite this

@inproceedings{6bfd0b9323784ea7b954d2e1aa2082c1,

title = "A novel approach to optimize crime investigation process using palmprint recognition",

abstract = "A crime investigation is generally carried out to aid the crime solving process by identifying criminals and in some cases victims. Print evidence plays a crucial part in identifying criminals or suspects. According to Sri Lankan Criminal Records, 30\%-35\% of the print evidences are in the form of partial palmprints. Partial-to-full palmprint matching has attracted the experts in print identification area and researchers in palmprint matching. An efficient partial palmprint identification approach can increase the efficiency of the criminal investigation process in Sri Lanka as well as in other countries.",

keywords = "Minutiae matching, Palmprint classification, Palmprint segmentation, Partial palmprint recognition",

author = "Karunawallabha, \{Janitha R.\} and Wijesiriwardene, \{Thilini I.\} and Wanniarachchi, \{Vajisha U.\} and Dharmaratne, \{Anuja T.\} and Damitha Sandaruwan",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; International Conference on Advances in ICT for Emerging Regions 2013, ICTer 2013 ; Conference date: 11-12-2013 Through 15-12-2013",

year = "2013",

doi = "10.1109/ICTer.2013.6761201",

language = "English",

pages = "287",

booktitle = "2013 International Conference on Advances in ICT for Emerging Regions",

url = "https://ieeexplore.ieee.org/xpl/conhome/6747516/proceeding",

}

Karunawallabha, JR, Wijesiriwardene, TI, Wanniarachchi, VU, Dharmaratne, AT & Sandaruwan, D 2013, A novel approach to optimize crime investigation process using palmprint recognition. in 2013 International Conference on Advances in ICT for Emerging Regions. pp. 287, International Conference on Advances in ICT for Emerging Regions 2013, Colombo, Sri Lanka, 11/12/13. https://doi.org/10.1109/ICTer.2013.6761201

A novel approach to optimize crime investigation process using palmprint recognition. / Karunawallabha, Janitha R.; Wijesiriwardene, Thilini I.; Wanniarachchi, Vajisha U. et al.
2013 International Conference on Advances in ICT for Emerging Regions. 2013. p. 287.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - A novel approach to optimize crime investigation process using palmprint recognition

AU - Karunawallabha, Janitha R.

AU - Wijesiriwardene, Thilini I.

AU - Wanniarachchi, Vajisha U.

AU - Dharmaratne, Anuja T.

AU - Sandaruwan, Damitha

N1 - Conference code: 14th

PY - 2013

Y1 - 2013

N2 - A crime investigation is generally carried out to aid the crime solving process by identifying criminals and in some cases victims. Print evidence plays a crucial part in identifying criminals or suspects. According to Sri Lankan Criminal Records, 30%-35% of the print evidences are in the form of partial palmprints. Partial-to-full palmprint matching has attracted the experts in print identification area and researchers in palmprint matching. An efficient partial palmprint identification approach can increase the efficiency of the criminal investigation process in Sri Lanka as well as in other countries.

AB - A crime investigation is generally carried out to aid the crime solving process by identifying criminals and in some cases victims. Print evidence plays a crucial part in identifying criminals or suspects. According to Sri Lankan Criminal Records, 30%-35% of the print evidences are in the form of partial palmprints. Partial-to-full palmprint matching has attracted the experts in print identification area and researchers in palmprint matching. An efficient partial palmprint identification approach can increase the efficiency of the criminal investigation process in Sri Lanka as well as in other countries.

KW - Minutiae matching

KW - Palmprint classification

KW - Palmprint segmentation

KW - Partial palmprint recognition

UR - https://www.scopus.com/pages/publications/84898419860

U2 - 10.1109/ICTer.2013.6761201

DO - 10.1109/ICTer.2013.6761201

M3 - Conference Paper

AN - SCOPUS:84898419860

SP - 287

BT - 2013 International Conference on Advances in ICT for Emerging Regions

T2 - International Conference on Advances in ICT for Emerging Regions 2013

Y2 - 11 December 2013 through 15 December 2013

ER -

A novel approach to optimize crime investigation process using palmprint recognition

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Cite this