Implementation of an intelligent web-photo album

Abstract

Face Detection and Recognition has been popular in the recent years and since many

people are interested in their similarity between their friends, families and even the

celebrities that they idolize. We often see people that are similar to another person

but we do not know how similar they are.

To aid us in finding out the similarity of two different person, a web-based

application is the most appropriate way for users to access since Internet is widely

used and mostly accessible anywhere.

To develop such a web application, it is necessary to identify a platform that would

help in building up this system efficiently. To this purpose, CakePHP was found

to be the most suitable web development platform.

To allow better interaction between the user requests and servers, a Graphical User

Interface (GUI) is vital for every website. A well-designed and interactive GUI

provides an enjoyable searching experience to the user which is the key to retaining

users. With a Face Annotation and Search Engine being proposed, the author shows

how a GUI is being implemented with the aim to achieve great user-friendliness and

attractiveness. This is achieved through the effects and smooth layout of using

Cascading Style Sheet (CSS), JavaScript, JQuery and AJAX Programming.

Throughout the project, various software engineering methodologies were used as

well as extra consideration when developing software for mobile platforms. Steps to

create an effective and robust application were followed. After thorough research

and brainstorming, the functionalities of the application were decided to include

upload of an image consisting of a face or multiple faces, using an image URL of a

particular webpage and also the use of Facebook photos to process the Face

Detection and Recognition.