Development of batch facial detection and recognition system for images / by Ernesto A. Gaddi III and Kareen Carl O. Mareeno

By:

Gaddi, Ernesto A. III [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2017.Description: xiii, 86 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

005.369 G11 2017

Online resources:

Click here to view the abstract and table of contents

Production credits:

College of Engineering, and Information Technology (CEIT)

Abstract: GADDI III, ERNESTO A. and MAREENO, KAREEM CARL O. Development of Batch Facial Detection and Recognition System for Images. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. May 2017. Adviser: Ms. Ria Clarisse L. Mojica. This study was conducted from March 2016 to March 2017 at Cavite State University - Main Campus. The purpose of the study was to develop a face detection and recognition system in images using facial detection and recognition that would greatly help in minimizing time and effort in searching a desired face in a bulk of images. Rapid Application Development was used as the methodology of the system. To implement the facial recognition feature of the system, Local Binary Pattern (LBP) and Red Green Blue (RGB) were used. One hundred participants of any demographic profile who are computer literate and love to take photos evaluated the system. According to the overall mean and evaluation results, the system was judged to be very good in all aspects such as functionality, reliability, usability, efficiency, and maintainability. Upon the completion of the study, the researchers concluded that this would be a possible solution to lessen the time and effort consumption in searching a desired image of face in a bulk of images.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	005.369 G11 2017 (Browse shelf(Opens below))		Link to resource	Room use only	T-7184		00017625

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering, and Information Technology (CEIT)

GADDI III, ERNESTO A. and MAREENO, KAREEM CARL O. Development of Batch Facial Detection and Recognition System for Images. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. May 2017. Adviser: Ms. Ria Clarisse L. Mojica.
This study was conducted from March 2016 to March 2017 at Cavite State University - Main Campus. The purpose of the study was to develop a face detection and recognition system in images using facial detection and recognition that would greatly help in minimizing time and effort in searching a desired face in a bulk of images. Rapid Application Development was used as the methodology of the system. To implement the facial recognition feature of the system, Local Binary Pattern (LBP) and Red Green Blue (RGB) were used. One hundred participants of any demographic profile who are computer literate and love to take photos evaluated the system. According to the overall mean and evaluation results, the system was judged to be very good in all aspects such as functionality, reliability, usability, efficiency, and maintainability. Upon the completion of the study, the researchers concluded that this would be a possible solution to lessen the time and effort consumption in searching a desired image of face in a bulk of images.

Submitted to the University Library 10/29/2020 T-7184

Click on an image to view it in the image viewer