Partial Facial Recognition using Dotted Raster Stereography

Partial Facial Recognition using Dotted Raster-stereography based attendance system, provides a way to mark attendance of the students using facial recognition. This system will facilitate the classroom control and attendance by face recognition of student?s faces using a dotted grid captured by a c

Project Title

Partial Facial Recognition using Dotted Raster Stereography

Project Area of Specialization

Software Engineering

Project Summary

Partial Facial Recognition using Dotted Raster-stereography based attendance system, provides a way to mark attendance of the students using facial recognition. This system will facilitate the classroom control and attendance by face recognition of student’s faces using a dotted grid captured by a camera and pasted on the ID card of students.

Partial Facial Recognition using Dotted Raster-stereography, is a method of automatically recognizing a human face using 3D[2] technique by developing a three-dimensional model of a face by projecting Dotted Raster on human face, which provides different curvatures and the information of the human face. This is a non-contact and radiation free procedure for marking attendance, which is for the most, used to find and calculate the different curvatures of a human face. The most functional part of Dotted Raster-stereography is that its hardware installation is too easy when compared to other algorithms. Another significant and compelling application of this method to recognize the human faces can be utilized in security space too.

This system provides information of a human face in coordinate form. In this system, a dotted grid is projected on human face providing a 3D view of human face. This dotted grid is then captured using a camera, generating a number of two-dimensional images based on the three-dimensional model and then the image is horizontally cropped to reduce the less information part of the human face. After then all the curvatures of a human face is calculated using coordinates of the grid after being distorted when projected on the face. These curvatures and the grid are then saved in the database with the information of that respective student. The captured grid is also pasted on the ID card of the student. In the last phase of the system, the grid on the ID card if the student is scanned and compared with ones stored in the database using coordinate points and their curvatures. If the grids are matched successfully, the system will mark the student’s attendance. If the system successfully gets passed through all these stages, it will be able to recognize a student’s face and mark their attendance.

The Dotted Raster strategy demonstrated that it is by a wide margin the best choice when compared with the Conventional Line Raster Stereography and will suit best for the regards of the security and applications concerning security.

Project Objectives

The “Partial Facial Recognition Using Dotted Raster stereography” project will meet the following objectives:

• Objective #1: Removal of pictures from student i.d card instead we are using dotted grid of their face.
• Objective #2: To automate the attendance system of Dar-ul-Uloom Karachi .
• Objective #3: To develop the most accurate and efficient facial recognition system.
• Objective #4: To achieve more than 90% accuracy for facial recognition.
• Objective #5: To save storage by saving Partial dotted grids instead of pictures in the System database.

Project Implementation Method

This project is divided into two phases.

• Registration 
• Recognition

Registration

Registration occur in dark room by usind dotted ratser-stereography setup which is portable. One needded a multimedia projector(lens of focal length range: 24.3mm - 29.2mm),a dotted-raster grid(with 0.6 mm inner dot spacing) and and advanced camera.This grid will impose throught projector on human faces of subjects. then the curvatures of human face will record by camera. this captured is image is then processed by using image processing algorithms, we extract those distorted point of human face and calculate mean and guassian mean of human face and store this value with face image in database. This dotted raster is then pasted on card.

Recognition

In Recognition phase, card is scanned through scanner which is then processed for the calculation of mean and guassian mean and compare these mean and guassian mean with the one saved in database and mark attendance if it matches.

Benefits of the Project

Removal of picture from identity card

Automating manual attendance system

Reducing error rate by automating attendance system

Benificial in security aspect of institute

Portable device

Technical Details of Final Deliverable

Automated attendance system with a scanner that will scan the dotted grid of human face pasted on ID card and mark the attendance. System will manage the attendance record of students.

Internal system will have a camera and projector to project and capture the grid only once and save the grid with student’s details in the database. System will compare the scanned grid with the grids saved in the database and mark the attendance.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

Education

Core Technology

Others

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com