NDLI: Literature review on CBR approches for matching composite sketches to facial photographs

Content Provider	IEEE Xplore Digital Library
Author	Ashraf, J. Mohod, P.S.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., G.H. Raisoni Inst. of Eng. & Technol. for women Nagpur, Nagpur, India (Ashraf, J.) \|\| Dept. of Comput. Sci. & Eng., G.H. Raisoni Inst. of Eng. & Technol. for Women, Nagpur, India (Mohod, P.S.)
Abstract	Facial Sketches are most widely used in law enforcement agencies for identification and apprehension of suspect which may involve in several criminal activities. If the photographs of the suspect is store in the mug shot data base then the identity of the suspect is possible but in most of the cases that it is a possibility that the photographs of the suspect is not available in the mug shot then two methods are used first is forensic sketch and second is composite sketch software. The sketch used in investigations are either drawn by expert artist (forensic sketch) or created with the help of computer software (composite software sketches), the forensic sketch is drawn by expert artist by following the verbal description provided by an eyewitness. Previous research on sketch recognition in which the (LAP) i.e lightning aware preprocessing method, for face recognition was used as a preprocessing method. Another method was based on extended (ASM) i.e Active shape model for locating a facial feature and previous work for matching sketches to mug shot database was based on (LFDA) i.e local feature based discriminant analysis method was used. And also using PCA algorithm for matching hand drawn face sketch in forensic application. After that the (EUCLBP) i.e enhanced uniform circular local binary pattern for matching sketch in forensic application. But the above process are very slow for identifying the suspect so, for this purpose we propose a (CBR) i.e component based representation approach that is used for matching composite sketches to face photo and with the help of this method we can successfully recognize the face based on sketch.
Starting Page	0189
Ending Page	0194
File Size	441321
Page Count	6
File Format	PDF
e-ISBN	9781467365253
DOI	10.1109/ICCPEIC.2015.7259462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition SIFT Feature selection Forensics Face recognition Data preprocessing Illumination preprocessing MLBP Active shape model Recognition of face through sketch EUCLBP PCA Gaussian noise Lightning aware preprocessing Lightning invariant Face Local feature discriminant analysis Principal component analysis
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feature extraction of Heterogeneous face images using SIFT and MLBP algorithm

Age invariant face recognition with occlusion

Matching Forensic Sketches to Mug Shot Photos

Face Sketch Recognition from Local Features

Preprocessing using SVD towards illumination invariant face recognition

Efficient heterogeneous face recognition using Scale Invariant Feature Transform

SIFT & MRLBP Descriptors Based Age Invariant Face Recognition

Gabor Wavelet Based Modular PCA Approach for Expression and Illumination Invariant Face Recognition

Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions

Literature review on CBR approches for matching composite sketches to facial photographs

Similar Documents

Feature extraction of Heterogeneous face images using SIFT and MLBP algorithm

Age invariant face recognition with occlusion

Matching Forensic Sketches to Mug Shot Photos

Face Sketch Recognition from Local Features

Preprocessing using SVD towards illumination invariant face recognition

Efficient heterogeneous face recognition using Scale Invariant Feature Transform

SIFT & MRLBP Descriptors Based Age Invariant Face Recognition

Gabor Wavelet Based Modular PCA Approach for Expression and Illumination Invariant Face Recognition

Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions

Literature review on CBR approches for matching composite sketches to facial photographs