On the Extension of the Haar Cascade Algorithm for Face Recognition: Case Study and Results

Automatic Attendance System Using Face Recognition Technique

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.a2644.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 2134-2138

Keyword(s):

Face Recognition ◽

User Interface ◽

Graphical User Interface ◽

Cascade Algorithm ◽

The Face ◽

Haar Cascade ◽

Recognition Technique

Attendance system is very important in schools and colleges’ Manual attendance system has many difficulties like it may less accurate and critical to maintain. So, attendance system using face recognition technique increase the accuracy and also it required less time than other methods. There are many existing system for attendance such as face recognition using IoT, PIR sensors and so on. For face recognition, hardware devices also helpful. But challenge is that to maintain all the sensors properly without get damage. After studying all method and techniques we are trying to implement a system with Haar Cascade Algorithm which has highest accuracy among all. It is able to capture the images from 50-70cm. We are creating graphical user interface which capture the images, create the dataset and train the dataset on single click. After recognizing the face it will display name of student and roll number. That information stored in attendance sheet automatically with time and date.

Download Full-text

Automatic Gate using Face Recognition Technique using HAAR Cascade Algorithm

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.c5195.029320 ◽

2020 ◽

Vol 9 (3) ◽

pp. 1302-1305

Keyword(s):

Face Recognition ◽

Elderly People ◽

Personal Identification ◽

Security System ◽

Cascade Algorithm ◽

Living Space ◽

Single Person ◽

Haar Cascade ◽

Almost All ◽

Recognition Technique

Now a day, in every single person households it is important to check regularly regarding their safety. Especially for elderly people it is mandatory, because they have become a target for certain burglars which leads to higher accidents/robberies in almost all the areas. To decrease the risk of such unwanted happenings in living space for single-person households, the hybrid security system should be adopted. The automatic personal identification has become the popular instead of using passwords or pattern in this days. This paper addresses the development of a face recognition technique for the above mentioned purpose.

Download Full-text

STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION

International Journal of Engineering Applied Sciences and Technology ◽

10.33564/ijeast.2021.v06i01.045 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Harshit Agarwal ◽

Govinda Verma ◽

Lakshya Gupta

Keyword(s):

Face Recognition ◽

Recognition System ◽

Graphical Interface ◽

Student Attendance ◽

Cascade Algorithm ◽

Face Recognition System ◽

The Face ◽

Haar Cascade

Attendance system is very important in schools and colleges' The student attendance program has many problems such as it may not be accurate and critical to maintain. Therefore, an existing system that uses a face recognition system increases accuracy and also requires less time than other methods. There are many systems available such as face recognition using IoT, PIR sensors and so on. With face recognition, hardware devices are helpful. But the challenge is to keep all the nerves properly without getting hurt. After learning all the techniques and techniques we try to use the system with Haar Cascade Algorithm with the highest accuracy among them all. It can take pictures from 50- 70cm. We create a graphical interface that takes pictures, builds a database and trains the database with a single click. After seeing the face it will show the student's name and roll number. That information is stored on an automatic attendance sheet by time and date.

Download Full-text

Face Recognition using Cascade Algorithm

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1118.0782s419 ◽

2019 ◽

Vol 8 (2S4) ◽

pp. 599-602

Keyword(s):

Image Processing ◽

Face Recognition ◽

Recognition System ◽

Important Application ◽

Cascade Algorithm ◽

Face Recognition System ◽

Future Extension ◽

Long Time ◽

The Face ◽

Haar Cascade

As one of the most successful application of Image processing, face recognition has received attention for quite a long time. Whether being used in CCTV cameras or home security, face recognition is an important application in today’s metropolitan era. The face recognization strategy is implemented by using Haar cascade algorithm. Both are used differently and the results are then compared to know which one works better or is more accurate. In this paper, we have used Python programing language, since this is only a basic Face recognition system there is no database used but for future extension, we can add a database to expand this method to a larger scale.

Download Full-text

Student Smart Attendance Through Face Recognition using Machine Learning Algorithm

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.a2927.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 2348-2352

Keyword(s):

Face Recognition ◽

Learning Algorithm ◽

Working Hours ◽

Machine Learning Algorithm ◽

Decision Tree Algorithm ◽

Cascade Algorithm ◽

Face Region ◽

The Face ◽

Haar Cascade ◽

Classroom Time

In today’s competitive world, with very less classroom time and increasing working hours, lecturers may need tools that can help them to manage precious class hours efficiently. Instead of focusing on teaching, lecturers are stuck with completing some formal duties, like taking attendance, maintaining the attendance record of each student, etc. Manual attendance marking unnecessarily consumes classroom time, whereas smart attendance through face recognition techniques helps in saving the classroom time of the lecturer. Attendance marking through face recognition can be implied in the classroom by capturing the image of the students in the classroom via the camera installed. Later through the HAAR Cascade algorithm and MTCNN model, face region needs to be taken as interest and the face of each student is bounded through a bounding box, and finally, attendance can be marked into the database based on their presence by using Decision Tree Algorithm.

Download Full-text