Development of batch facial detection and recognition system for images /
Gaddi, Ernesto A. III
Development of batch facial detection and recognition system for images / by Ernesto A. Gaddi III and Kareen Carl O. Mareeno - Indang, Cavite : Cavite State University- Main Campus, 2017. - xiii, 86 pages : illustrations ; 28 cm.
Thesis (Bachelor of Science in Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT) 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.
Application software
Facial recognition
005.369 / G11 2017
Development of batch facial detection and recognition system for images / by Ernesto A. Gaddi III and Kareen Carl O. Mareeno - Indang, Cavite : Cavite State University- Main Campus, 2017. - xiii, 86 pages : illustrations ; 28 cm.
Thesis (Bachelor of Science in Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT) 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.
Application software
Facial recognition
005.369 / G11 2017