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Deep Learning based Person Identification using Facial Images

Rahman, Hamidur (author)
Mälardalens högskola,Inbyggda system
Ahmed, Mobyen Uddin, 1976- (author)
Mälardalens högskola,Inbyggda system
Begum, Shahina, 1977- (author)
Mälardalens högskola,Inbyggda system
 (creator_code:org_t)
2018-02-17
2018
English.
In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225. - Cham : Springer International Publishing. - 9783319762128 ; , s. 111-115
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Person identification is an important task for many applications for example in security. A person can be identified using finger print, vocal sound, facial image or even by DNA test. However, Person identification using facial images is one of the most popular technique which is non-contact and easy to implement and a research hotspot in the field of pattern recognition and machine vision. n this paper, a deep learning based Person identification system is proposed using facial images which shows higher accuracy than another traditional machine learning, i.e. Support Vector Machine.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

Face recognition
Person Identification
Deep Learning.

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