DocumentCode
734521
Title
Survey on implementation of enhanced uniform circular local binary pattern algorithm for sketch recognition
Author
Zalke, Shital ; Mohod, P.S.
Author_Institution
Dept. of Comput. Sci. & Eng., G.H. Raisoni Inst. of Eng. & Technol. for Women, Nagpur, India
fYear
2015
fDate
19-20 March 2015
Firstpage
1
Lastpage
4
Abstract
In this papert to determine the uniqueness of criminal, growth in biometric technology have provide law enforcement agency other tools. but, several crimes take place where none of the information is present, but instead an eyewitness description of the crime is presented. In these circumstances, a forensic artist is commonly used to work with the eyewitness in order to draw a sketch that depicts the facial look of the criminal according to the spoken description. Forensic sketches differ from view sketches in that they are drawn by a police sketch artist using the description of the issue provided by an eyewitness. Because face sketches represent the original faces in a very short recognizable form, they play an vital role in criminal investigations, human illustration discernment, and face biometrics. Sketches used in forensic investigations are either drawn by forensic artists (forensic sketches) or created with computer software. These sketches are posted in public places and in media in hopes that some viewers will provide tips about the identity of the suspect.
Keywords
criminal law; face recognition; forensic science; criminal investigations; enhanced uniform circular local binary pattern algorithm; face biometrics; face sketches; forensic artist; forensic sketches; human illustration; sketch recognition; Algorithm design and analysis; Face; Face recognition; Feature extraction; Forensics; Law enforcement; Pattern matching; face recognition; forensic sketch; mug shot gallary;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-6817-6
Type
conf
DOI
10.1109/ICIIECS.2015.7192917
Filename
7192917
Link To Document