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Face recognition using holistics features of low frequency infomation

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Main Author: Khuzaimah, Abdullah
Other Authors: Dr. Muhammad Imran Ahmad
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Face recognition
Biometrics
Holistic technique
Facial recognition systems
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41776
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spelling my.unimap-417762016-05-31T06:43:09Z Face recognition using holistics features of low frequency infomation Khuzaimah, Abdullah Dr. Muhammad Imran Ahmad Face recognition Biometrics Holistic technique Facial recognition systems Access is limited to UniMAP community. Face recognition has been getting the most attention from researchers in biometrics. Since the introduction of biometrics, it tried to find a process identified by comparing the current biometric pattern to the database. Here is a function of behavior in addition to the physiological much of which work in the program as an example of biometric fingerprint, iris scanning, signature, hand geometry and voice/speech. Man or woman can be separated as proof of identification in addition to the recognition will depend on your circumstances of the request. Some work on facial recognition has been successful method to identify facial features or remotely using a template that includes some of the area. A holistic technique used to identify characteristics or face geometry was introduced. Characterization advance achieved by random sampling of selected properties of the image pixels. From this information, we developed a data set corresponding to the low frequency values. The facial recognition systems for personal identification and validation using Principle Component Analysis (PCA) are among the most common technique for feature extraction technique used in face recognition. The test results in a database interface Olivetti Research Laboratory (ORL) to produce interesting results from the point of view of the recognition success, rate, and the robustness of face recognition algorithms. 2016-05-31T06:43:08Z 2016-05-31T06:43:08Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41776 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Face recognition
Biometrics
Holistic technique
Facial recognition systems
spellingShingle Face recognition
Biometrics
Holistic technique
Facial recognition systems
Khuzaimah, Abdullah
Face recognition using holistics features of low frequency infomation
description Access is limited to UniMAP community.
author2 Dr. Muhammad Imran Ahmad
author_facet Dr. Muhammad Imran Ahmad
Khuzaimah, Abdullah
format Learning Object
author Khuzaimah, Abdullah
author_sort Khuzaimah, Abdullah
title Face recognition using holistics features of low frequency infomation
title_short Face recognition using holistics features of low frequency infomation
title_full Face recognition using holistics features of low frequency infomation
title_fullStr Face recognition using holistics features of low frequency infomation
title_full_unstemmed Face recognition using holistics features of low frequency infomation
title_sort face recognition using holistics features of low frequency infomation
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41776
_version_ 1643799802140426240
score 13.222552

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