richa pandit.docx

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ALIGARH COLLEGE OF ENGINEERING AND TECHNOLOGY (109)

(Approved By AICTE, Affiliated to Dr. APJ AK T.U, Lucko!" (for#erly UPTU ,Lucko! "

PROJECT REPORT

on

“AUTOMATIC FACERECOGNITION”

In par!a" #$"#!""%&n #or '& aar o# '& &*r&&

O#

+ACHELOR OF TECHNOLOGY!n

COMPUTER ,CIENCE - ENGINEERING(.01./.01)

,U+MITTED +Y

D!23'a ,'ar%a(1.109100..)

Pa""a4! ,'ar%a(1.10910056)

UNDER THE GUIDANCE OF

Mr. Konark Sharma

Dr. Anand Sharma

Mr. Rohit Yadav

(HOD OF DETT!

(RO"ECT INCHARGE!

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A#IGARH CO##EGE OF ENGINEERING OF

TECHNO#OGY $ MANAGEMENT% A#IGARH(U..!

Department of Computer Science & Engineering

CERTIFICATE 0F PROJECT COMPLETI ON

T$i% i% to certified t$at t$e pro&ect report etitled 'AUT)ATIC *ACIAL E)TI+

EC-+ITI+, %u/#itted /y )i%%. Dik%$a 0$ar#a (1213413322", )i%%. Pallavi 0$ar#a

(1213413356" partial fulfill#et for t$e a!ard of t$e de7ree of Bac$elor of Tec$olo7y

(Co#puter 0ciece 8 E7ieeri7" of Dr. A.P.J. A/dul Kala# Tec$ical Uiver%ity ,Lucko!

i% a record of %tudet%9% o! !ork carried /y t$e# uder #y 7uidace ad %upervi%io. T$e#atter pre%eted i t$i% report i% of iovative ature ad $a% full aut$eticity.

Dr7 Anan ,'ar%a Mr7 Ro'! Yaa4 Mr7 8onar2 ,'ar%a

(H7O7D C7,) (Pro:&; In;'ar*&) (Pro:&; G$!&)

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ALIGARH COLLEGE OF ENGINEERING OF TECHNOLOGY -

MANAGEMENTALIGARH(U7P7)

D&par%&n o# Co%p$&r ,;!&n;& - En*!n&&r!n*

DEC#ARATION

We hereby declare that this submission is our own work and that, to the best

of my knowledge and belief, it continuous no material previously published

or written by another person or material which to a substantial etent has

been accepted for the award of any other degree or diploma of the university

or other institute of higher learning , ecept where due to acknowledgment

has been made in the tet.

D!"S#$ S#$%$

'()(*+(**))

-$$/! S#$%$

'()(*+(**01

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ACKNOEDGEMENT

O'#IGATION AND REGARD CAN NEER

'E RAID

Thank) &* A##AI SHARMA% DIKSHA SHARMA would like to 2THE

A#MIGHTY GOD3 because of whose only the work that was simply an idea

of a few months back and has become a reality now. We are very pleasure to

say that we devoted our valuable time towards this pro4ect i.e.3 AUTOMATIC

FACE RECOGNITION3.

T$e e:te%ive edeavor, /li%% eup$oria t$at acco#paie% t$e %ucce%%ful co#pletio of ay ta%k

!ould ot /e co#plete !it$out t$e e:pre%%io of 7ratitude to t$e people !$o #ade it po%%i/le. I

take t$e opportuity to acko!led7e all t$o%e !$o%e 7uidace ad ecoura7e#et $elped #e i

!idi7 up t$i% pro&ect.

I a# deeply ide/ted to Dr. A+A+D 0;A)A of ALI-A; CLLE-E * E+-I+EEI+-

A+D TEC;+L-


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(1.10910056)

ALIGARH COLLEGE OFENGINEERING - TECHNOLOGY

COMPUTER ,CIENCE

A+,TRACT

T$e iteractio /et!ee $u#a /ei7% ad co#puter% !ill /e #ore atural if co#puter% are a/le

to perceive ad re%pod to $u#a o>ver/al co##uicatio %uc$ a% e#otio%. Alt$ou7$ %everal

approac$e% $ave /ee propo%ed to reco7i?e $u#a e#otio% /a%ed o facial e:pre%%io% or

%peec$, relatively li#ited !ork $a% /ee doe to fu%e t$e%e t!o, ad ot$er, #odalitie% to i#prove

t$e accuracy ad ro/u%te%% of t$e e#otio reco7itio %y%te#. T$i% paper aaly?e% t$e %tre7t$%

ad t$e li#itatio% of %y%te#% /a%ed oly o facial e:pre%%io% or acou%tic ifor#atio. It al%o

di%cu%%e% t!o approac$e% u%ed to fu%e t$e%e t!o #odalitie%@ deci%io level ad feature level

ite7ratio. U%i7 a data/a%e recorded fro# a actre%%, four e#otio% !ere cla%%ified@ %ade%%,

a7er, $appie%%, ad eutral %tate. By t$e u%e of #arker% o $er face, detailed facial #otio%

!ere captured !it$ #otio capture, i co&uctio !it$ %i#ultaeou% %peec$ recordi7%. T$e

re%ult% reveal t$at t$e %y%te# /a%ed o facial e:pre%%io 7ave /etter perfor#ace t$a t$e %y%te#

/a%ed o &u%t acou%tic ifor#atio for t$e e#otio% co%idered. e%ult% al%o %$o! t$e

co#ple#etarily of t$e t!o #odalitie% ad t$at !$e t$e%e t!o #odalitie% are fu%ed, t$e

perfor#ace ad t$e ro/u%te%% of t$e e#otio reco7itio %y%te# i#prove #ea%ura/ly.

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ALIGARH COLLEGE OF ENGINEERING OF TECHNOLOGY

- MANAGEMENTALIGARH(U7P7)

TA+LE OF CONTENT

17Inro$;!on=========================771/5

.7M&'oo"o*>=========================?/11

2.1 euire#et%..6

2.1.1 ;ard!are euire#et...6

2.1.2 0oft!are euire#et....6

2.2 *uctioal euire#et.

2.5 +o fuctioal euire#et%.....

2.5.1 0afety euire#et.

2.5.2 0ecurity euire#et .

2.5.5 0oft!are euire#et.

2.F Gater *all )odel....13>11

57F&a3!a@"!"!> 3$>=====77=================1./15

5.1 Tec$ical *ea%i/ility... ...15

5.2 peratioal *ea%i/ility. 15

5.5 Ecoo#ical *ea%i/ility. .......15

?7,>3&% Ar;'!&;$r&7=========7============1?/1

F.1 Cliet %erver arc$itecture..1

F.2 Beefit% 8 Li#itatio..1

67En4!ro%&n &3;r!p!on====================1B/.

6.1 0oft!are Eviro#et...14

6.1.1 *eature% of .+ET.......14

.


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6.1.2 T$e.+ET *ra#e!ork...14

6.1.5 La7ua7e %upport /y.+ET...21

6.2 Co%tructor 8 Deco%tructor.25

6.2.1 -ar/a7e Collectio..25

6.2.2 verloadi725

6.2.5 )ultit$readi72F

6.2.F 0tructured E:ceptio ;adli7..2F

6.5 T$e.+ET *ra#e !ork..2F

6.5.1 /&ective of.+ET fra#e !ork.2F

6.F *eature of 0HL 0ever..26

6.F.1 Ta/le...26

6.F.2 Huery..2

6.F.5 *or#...2

6.F.F eport2

6.F.6 )acro.2

7D&3!*n==777==7777777777777777777777777=77==============777./55

.1 U%e Ca%e Dia7ra# ...2

.2 0euece Dia7ra# ....24

.5 *uctioal Block Dia7ra# ....53

.F Data *lo! Dia7ra#.52

7I%p"&%&na!on=======================775?/?5

.1 )ai )odule.56

.2 )odule De%criptio..5

.2.1 0ki Color 0e7#etatio..5

.2.2 *ace detectio..5

.


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.2.5 Eye% Detectio5

.2.F Lip Detectio..54

.2.6 Apply Be?ier Curve o Lip.F3

.2. Apply Be?ier Curve o Eye...F1

.2. Data/a%e 8 Traii7..F2

.2. E#otio Detectio.F2

B7Co!n*==========================77??/10B

97,;r&&n 3'oo3=======================77109/119

107 T&3!n*================777========771.0/1.5

13.1 Uit Te%ti7...121

13.2 Ite7ratio Te%ti7122

13.5 Acceptace Te%ti7...122

13.F Black /o: Te%ti7.125

13.5 G$ite Bo: Te%ti7.125

13.5.1 0tatic Te%ti7125

13.5.2 0tructural Te%ti7.125

117Nor%a"!3a!on=====77===================1.6

1.7R&3$"==========================1./1.

157Con;"$3!on==========7777=============1.B/1.9

1?7F$$r& ,;op&=======================150/151

167+!@!"!o*rap'>=======777===============15./155

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richa pandit.docx