SlideShare a Scribd company logo
Presentation
on
1
 Introduction
 Literature Survey
 Algorithms and Techniques
 Applications
 Conclusion
 References
2
 Why Face Recognition..?
3
 Face Recognition: FR is a Biometric Software
application for automatically verifying
person/individual from a digital image by comparing
with a stored database of faces.
 Two Phases:
› Training Phase : All the registered & authenticated persons
in the database are processed to obtain facial features.
› Testing Phase : Images of different persons are processed in
the same manner as in the training and there features are
compared with the database.
4
 Face Detection Methods:
› Knowledge Based :Encode the knowledge about face into
rules that express the relationship.
› Feature Based Method : This method use the features such
as color , edge & texture to locate faces.
› Template Matching method :It use patterns already stored.
› Appearance based methods : Unlike template matching
methods , patterns are learned by a training images to
recognize faces. 5
6
Year Paper Name Author Published At
2015 Face Detection and Recognition Using
Skin Color
B.Dhivakar , C.Sridevi ,
S.Selvakumar
IEEE
2015 Face recognition system using skin
detection in RGB and YCbCr color space
Fatma zohra CHELALI,
Noureddine CHERABIT,
Amar DJERADI
IEEE
2013 Face Detection and Recognition based on
Skin Segmentation and CNN
1Akhilesh Raj, 2Soumay
Gupta, 1Nishchal K.
Verma
IEEE
2016 A Novel Illumination invariant Face
recognition method based on PCA and
WPD using YCbCr color space
Archana H. Sablea, Prof.
Sanjay N. Talbarb
ScienceDirect
2006 A REAL-TIME FACE RECOGNITION
APPROACH FROM VIDEO SEQUENCE
USING SKIN COLOR MODEL AND
EIGENFACE METHOD
Md. Maruf Monwar, Padma
Polash Paul
IEEE
 Paper 1:Face Detection and Recognition Using Skin Color[1]
7
Fig1-Block Diagram of FR using
Skin Color
 Paper 2:Face recognition system using skin detection in RGB and YCbCr color space[2]
8
Fig2-Block Diagram of FR using Skin Detection in YCbCr color
 Paper 3:Face Detection and Recognition based on Skin Segmentation and CNN[3]
9
Fig3-Block Diagram of FR on Skin segmentation and CNN
 Paper 4 :A Novel Illumination invariant Face recognition method based on PCA and WPD
using YCbCr color space[4]
10Fig4-Block Diagram of FR based on PCA and WPD using YCbCr
 Paper 5 :Face recognition using color local binary pattern from mutually independent color
channels[5]
11
Fig5-Block diagram for face segmentation.
 Thrust Area : Public Safety, E-Governance
 Applications:
› Information Security
› Access Control
› Biometrics
› Law Enforcement
› Personal Security
12
 Here , Understood Face Detection and Recognition System using
Skin color as well as other features, mostly PCA is robust algorithm
for face detection with KNN classifier to differentiate face vs. non-
face and also studied face recognition techniques for correctly
identifying face with various techniques , mostly face recognition
methods using skin color.
13
[1] B. Dhivakar, C. Sridevi, S. Selvakumar and P. Guhan, "Face detection and recognition using
skin color," 2015 3rd International Conference on Signal Processing, Communication and
Networking (ICSCN), Chennai, 2015, pp. 1-7.
[3] A. Raj, S. Gupta and N. K. Verma, "Face detection and recognition based on skin
segmentation and CNN," 2016 11th International Conference on Industrial and Information
Systems (ICIIS), Roorkee, 2016, pp. 54-59.
[2] F. Z. Chelali, N. Cherabit and A. Djeradi, "Face recognition system using skin detection in
RGB and YCbCr color space," 2015 2nd World Symposium on Web Applications and
Networking (WSWAN), Sousse, 2015, pp. 1-7.
[4] Archana H. Sable, Sanjay N. Talbar,A Novel Illumination Invariant Face Recognition method
Based on PCA and WPD Using YCbCr Color Space, Procedia Computer Science,Volume
92,2016,
[5] M. M. Monwar, P. P. Paul, M. W. Islam and S. Rezaei, "A Real-Time Face Recognition
Approach from Video Sequence using Skin Color Model and Eigenface Method," 2006
Canadian Conference on Electrical and Computer Engineering, Ottawa, Ont., 2006, pp. 2181-
2185. 14
?
15
Thank You…!
16

More Related Content

What's hot

Face recognition
Face recognitionFace recognition
Face recognition
sandeepsharma1193
 
Face Recognition Projects Research Assistance
Face Recognition Projects Research AssistanceFace Recognition Projects Research Assistance
Face Recognition Projects Research Assistance
Matlab Simulation
 
Face recognition with age
Face recognition with ageFace recognition with age
Face recognition with age
Prabhat kumar Suman
 
LDA presentation
LDA presentationLDA presentation
LDA presentation
Mohit Gupta
 
Frs
FrsFrs
Face and Voice Recognition- Artificial Intelligence
Face and Voice Recognition- Artificial IntelligenceFace and Voice Recognition- Artificial Intelligence
Face and Voice Recognition- Artificial Intelligence
Eclipse Techno Consulting Global (P) Ltd
 
FACE RECOGNITION SYSTEM PPT
FACE RECOGNITION SYSTEM PPTFACE RECOGNITION SYSTEM PPT
FACE RECOGNITION SYSTEM PPT
Saghir Hussain
 
Face Recognition and Door Opening Assistant for Visually Impaired
Face Recognition and Door Opening Assistant for Visually ImpairedFace Recognition and Door Opening Assistant for Visually Impaired
Face Recognition and Door Opening Assistant for Visually Impaired
Ullas Puntambekar
 
Face Recognition Dissertation
Face Recognition Dissertation Face Recognition Dissertation
Face Recognition Dissertation
Sandeep Garg
 
Face Recognition System/Technology
Face Recognition System/TechnologyFace Recognition System/Technology
Face Recognition System/Technology
RahulSingh3034
 
Face recognition technology
Face recognition technologyFace recognition technology
Face recognition technology
Pushkar Dutt
 
Face recognization 1
Face recognization 1Face recognization 1
Face recognization 1leenak770
 
Face recognition technology
Face recognition technologyFace recognition technology
Face recognition technology
SYED HOZAIFA ALI
 
Facial Recognition
Facial RecognitionFacial Recognition
Facial Recognition
Pallavi Agarwal
 
Face recognition
Face recognitionFace recognition
Face recognition
Balamurugan M
 
Face Recognition
Face RecognitionFace Recognition
Face Recognition
arvind carpenter
 
Face recognition for augmented reality and media management.Viewdle.2011.
Face recognition for augmented reality and media management.Viewdle.2011.Face recognition for augmented reality and media management.Viewdle.2011.
Face recognition for augmented reality and media management.Viewdle.2011.
Alexa Dovgopolaya
 
Facial Recognition: The Science, The Technology, and Market Applications
Facial Recognition: The Science, The Technology, and Market ApplicationsFacial Recognition: The Science, The Technology, and Market Applications
Facial Recognition: The Science, The Technology, and Market Applications
Investorideas.com
 
Face recognition software system by Junyu Tech.(China)
Face recognition software system by Junyu Tech.(China)Face recognition software system by Junyu Tech.(China)
Face recognition software system by Junyu Tech.(China)
Wuxi Junyu Technology Co.,Ltd. (China)
 

What's hot (20)

Face recognition
Face recognitionFace recognition
Face recognition
 
Face Recognition Projects Research Assistance
Face Recognition Projects Research AssistanceFace Recognition Projects Research Assistance
Face Recognition Projects Research Assistance
 
Face recognition with age
Face recognition with ageFace recognition with age
Face recognition with age
 
LDA presentation
LDA presentationLDA presentation
LDA presentation
 
Frs
FrsFrs
Frs
 
Face and Voice Recognition- Artificial Intelligence
Face and Voice Recognition- Artificial IntelligenceFace and Voice Recognition- Artificial Intelligence
Face and Voice Recognition- Artificial Intelligence
 
FACE RECOGNITION SYSTEM PPT
FACE RECOGNITION SYSTEM PPTFACE RECOGNITION SYSTEM PPT
FACE RECOGNITION SYSTEM PPT
 
Face Recognition and Door Opening Assistant for Visually Impaired
Face Recognition and Door Opening Assistant for Visually ImpairedFace Recognition and Door Opening Assistant for Visually Impaired
Face Recognition and Door Opening Assistant for Visually Impaired
 
Face Recognition Dissertation
Face Recognition Dissertation Face Recognition Dissertation
Face Recognition Dissertation
 
Face Recognition Technology by Vishal Garg
Face Recognition Technology by Vishal GargFace Recognition Technology by Vishal Garg
Face Recognition Technology by Vishal Garg
 
Face Recognition System/Technology
Face Recognition System/TechnologyFace Recognition System/Technology
Face Recognition System/Technology
 
Face recognition technology
Face recognition technologyFace recognition technology
Face recognition technology
 
Face recognization 1
Face recognization 1Face recognization 1
Face recognization 1
 
Face recognition technology
Face recognition technologyFace recognition technology
Face recognition technology
 
Facial Recognition
Facial RecognitionFacial Recognition
Facial Recognition
 
Face recognition
Face recognitionFace recognition
Face recognition
 
Face Recognition
Face RecognitionFace Recognition
Face Recognition
 
Face recognition for augmented reality and media management.Viewdle.2011.
Face recognition for augmented reality and media management.Viewdle.2011.Face recognition for augmented reality and media management.Viewdle.2011.
Face recognition for augmented reality and media management.Viewdle.2011.
 
Facial Recognition: The Science, The Technology, and Market Applications
Facial Recognition: The Science, The Technology, and Market ApplicationsFacial Recognition: The Science, The Technology, and Market Applications
Facial Recognition: The Science, The Technology, and Market Applications
 
Face recognition software system by Junyu Tech.(China)
Face recognition software system by Junyu Tech.(China)Face recognition software system by Junyu Tech.(China)
Face recognition software system by Junyu Tech.(China)
 

Similar to Face Recognition using Skin Color

FACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
FACE DETECTION USING PRINCIPAL COMPONENT ANALYSISFACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
FACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
IAEME Publication
 
Region based elimination of noise pixels towards optimized classifier models ...
Region based elimination of noise pixels towards optimized classifier models ...Region based elimination of noise pixels towards optimized classifier models ...
Region based elimination of noise pixels towards optimized classifier models ...
IJERA Editor
 
Innovative Analytic and Holistic Combined Face Recognition and Verification M...
Innovative Analytic and Holistic Combined Face Recognition and Verification M...Innovative Analytic and Holistic Combined Face Recognition and Verification M...
Innovative Analytic and Holistic Combined Face Recognition and Verification M...
ijbuiiir1
 
A study of techniques for facial detection and expression classification
A study of techniques for facial detection and expression classificationA study of techniques for facial detection and expression classification
A study of techniques for facial detection and expression classification
IJCSES Journal
 
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptxIP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
JyotiradityaPandey1
 
Multi modal face recognition using block based curvelet features
Multi modal face recognition using block based curvelet featuresMulti modal face recognition using block based curvelet features
Multi modal face recognition using block based curvelet features
ijcga
 
Skin Detection Based on Color Model and Low Level Features Combined with Expl...
Skin Detection Based on Color Model and Low Level Features Combined with Expl...Skin Detection Based on Color Model and Low Level Features Combined with Expl...
Skin Detection Based on Color Model and Low Level Features Combined with Expl...
IJERA Editor
 
Fog computing based on face identification in internet
Fog computing based on face identification in internetFog computing based on face identification in internet
Fog computing based on face identification in internet
ummeHani43
 
face recognition (5).pptx
face recognition (5).pptxface recognition (5).pptx
face recognition (5).pptx
DevanshuRawat001
 
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study PaperData Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
IJERA Editor
 
Kh3418561861
Kh3418561861Kh3418561861
Kh3418561861
IJERA Editor
 
Paper id 24201475
Paper id 24201475Paper id 24201475
Paper id 24201475IJRAT
 
76 s201920
76 s20192076 s201920
76 s201920
IJRAT
 
Second PPT.ppt
Second  PPT.pptSecond  PPT.ppt
Second PPT.ppt
VishalLabde
 
Dissertation final report
Dissertation final reportDissertation final report
Dissertation final reportSmriti Tikoo
 
J017526165
J017526165J017526165
J017526165
IOSR Journals
 
B017310612
B017310612B017310612
B017310612
IOSR Journals
 
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
iosrjce
 
Facial expression recongnition Techniques, Database and Classifiers
Facial expression recongnition Techniques, Database and Classifiers Facial expression recongnition Techniques, Database and Classifiers
Facial expression recongnition Techniques, Database and Classifiers Rupinder Saini
 

Similar to Face Recognition using Skin Color (20)

FACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
FACE DETECTION USING PRINCIPAL COMPONENT ANALYSISFACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
FACE DETECTION USING PRINCIPAL COMPONENT ANALYSIS
 
Region based elimination of noise pixels towards optimized classifier models ...
Region based elimination of noise pixels towards optimized classifier models ...Region based elimination of noise pixels towards optimized classifier models ...
Region based elimination of noise pixels towards optimized classifier models ...
 
50120140504002
5012014050400250120140504002
50120140504002
 
Innovative Analytic and Holistic Combined Face Recognition and Verification M...
Innovative Analytic and Holistic Combined Face Recognition and Verification M...Innovative Analytic and Holistic Combined Face Recognition and Verification M...
Innovative Analytic and Holistic Combined Face Recognition and Verification M...
 
A study of techniques for facial detection and expression classification
A study of techniques for facial detection and expression classificationA study of techniques for facial detection and expression classification
A study of techniques for facial detection and expression classification
 
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptxIP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
IP%20FACE%20RECOGNITION%20ATTENDANCE%20SYSTEM.pptx
 
Multi modal face recognition using block based curvelet features
Multi modal face recognition using block based curvelet featuresMulti modal face recognition using block based curvelet features
Multi modal face recognition using block based curvelet features
 
Skin Detection Based on Color Model and Low Level Features Combined with Expl...
Skin Detection Based on Color Model and Low Level Features Combined with Expl...Skin Detection Based on Color Model and Low Level Features Combined with Expl...
Skin Detection Based on Color Model and Low Level Features Combined with Expl...
 
Fog computing based on face identification in internet
Fog computing based on face identification in internetFog computing based on face identification in internet
Fog computing based on face identification in internet
 
face recognition (5).pptx
face recognition (5).pptxface recognition (5).pptx
face recognition (5).pptx
 
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study PaperData Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
Data Mining Based Skin Pixel Detection Applied On Human Images: A Study Paper
 
Kh3418561861
Kh3418561861Kh3418561861
Kh3418561861
 
Paper id 24201475
Paper id 24201475Paper id 24201475
Paper id 24201475
 
76 s201920
76 s20192076 s201920
76 s201920
 
Second PPT.ppt
Second  PPT.pptSecond  PPT.ppt
Second PPT.ppt
 
Dissertation final report
Dissertation final reportDissertation final report
Dissertation final report
 
J017526165
J017526165J017526165
J017526165
 
B017310612
B017310612B017310612
B017310612
 
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
A New Skin Color Based Face Detection Algorithm by Combining Three Color Mode...
 
Facial expression recongnition Techniques, Database and Classifiers
Facial expression recongnition Techniques, Database and Classifiers Facial expression recongnition Techniques, Database and Classifiers
Facial expression recongnition Techniques, Database and Classifiers
 

Recently uploaded

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 

Recently uploaded (20)

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 

Face Recognition using Skin Color

  • 2.  Introduction  Literature Survey  Algorithms and Techniques  Applications  Conclusion  References 2
  • 3.  Why Face Recognition..? 3
  • 4.  Face Recognition: FR is a Biometric Software application for automatically verifying person/individual from a digital image by comparing with a stored database of faces.  Two Phases: › Training Phase : All the registered & authenticated persons in the database are processed to obtain facial features. › Testing Phase : Images of different persons are processed in the same manner as in the training and there features are compared with the database. 4
  • 5.  Face Detection Methods: › Knowledge Based :Encode the knowledge about face into rules that express the relationship. › Feature Based Method : This method use the features such as color , edge & texture to locate faces. › Template Matching method :It use patterns already stored. › Appearance based methods : Unlike template matching methods , patterns are learned by a training images to recognize faces. 5
  • 6. 6 Year Paper Name Author Published At 2015 Face Detection and Recognition Using Skin Color B.Dhivakar , C.Sridevi , S.Selvakumar IEEE 2015 Face recognition system using skin detection in RGB and YCbCr color space Fatma zohra CHELALI, Noureddine CHERABIT, Amar DJERADI IEEE 2013 Face Detection and Recognition based on Skin Segmentation and CNN 1Akhilesh Raj, 2Soumay Gupta, 1Nishchal K. Verma IEEE 2016 A Novel Illumination invariant Face recognition method based on PCA and WPD using YCbCr color space Archana H. Sablea, Prof. Sanjay N. Talbarb ScienceDirect 2006 A REAL-TIME FACE RECOGNITION APPROACH FROM VIDEO SEQUENCE USING SKIN COLOR MODEL AND EIGENFACE METHOD Md. Maruf Monwar, Padma Polash Paul IEEE
  • 7.  Paper 1:Face Detection and Recognition Using Skin Color[1] 7 Fig1-Block Diagram of FR using Skin Color
  • 8.  Paper 2:Face recognition system using skin detection in RGB and YCbCr color space[2] 8 Fig2-Block Diagram of FR using Skin Detection in YCbCr color
  • 9.  Paper 3:Face Detection and Recognition based on Skin Segmentation and CNN[3] 9 Fig3-Block Diagram of FR on Skin segmentation and CNN
  • 10.  Paper 4 :A Novel Illumination invariant Face recognition method based on PCA and WPD using YCbCr color space[4] 10Fig4-Block Diagram of FR based on PCA and WPD using YCbCr
  • 11.  Paper 5 :Face recognition using color local binary pattern from mutually independent color channels[5] 11 Fig5-Block diagram for face segmentation.
  • 12.  Thrust Area : Public Safety, E-Governance  Applications: › Information Security › Access Control › Biometrics › Law Enforcement › Personal Security 12
  • 13.  Here , Understood Face Detection and Recognition System using Skin color as well as other features, mostly PCA is robust algorithm for face detection with KNN classifier to differentiate face vs. non- face and also studied face recognition techniques for correctly identifying face with various techniques , mostly face recognition methods using skin color. 13
  • 14. [1] B. Dhivakar, C. Sridevi, S. Selvakumar and P. Guhan, "Face detection and recognition using skin color," 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), Chennai, 2015, pp. 1-7. [3] A. Raj, S. Gupta and N. K. Verma, "Face detection and recognition based on skin segmentation and CNN," 2016 11th International Conference on Industrial and Information Systems (ICIIS), Roorkee, 2016, pp. 54-59. [2] F. Z. Chelali, N. Cherabit and A. Djeradi, "Face recognition system using skin detection in RGB and YCbCr color space," 2015 2nd World Symposium on Web Applications and Networking (WSWAN), Sousse, 2015, pp. 1-7. [4] Archana H. Sable, Sanjay N. Talbar,A Novel Illumination Invariant Face Recognition method Based on PCA and WPD Using YCbCr Color Space, Procedia Computer Science,Volume 92,2016, [5] M. M. Monwar, P. P. Paul, M. W. Islam and S. Rezaei, "A Real-Time Face Recognition Approach from Video Sequence using Skin Color Model and Eigenface Method," 2006 Canadian Conference on Electrical and Computer Engineering, Ottawa, Ont., 2006, pp. 2181- 2185. 14
  • 15. ? 15