Face Recognition and Pattern Recognition Based Dress-Code Monitoring for Students

International Journal of Advanced Science and Technology, 2020

6 Pages Posted: 14 May 2020

See all articles by Praveen Boddu

Praveen Boddu

Saveetha School of Engineering, Student

Date Written: February 20, 2020

Abstract

The technology has been developed which can make interaction between the human and the computer very easy. The face recognition is the best example for that. For the past two decades the researches are made in the face recognition. The face recognition can involve in all the below mentioned process such as computer vision, pattern recognition, image processing and the machine learning. In this paper they mainly process the face recognition and the color identification. The faces are captured and the pattern segmentation, identification and comparison are made. Then the next stage is the color identification which uses the Neural Network Model which is applied in the color uniform of the college students. From the captured image of the color uniform the RGB color components are extracted. The color components of the resized images are scaled using SHM Simple Heuristic Method. From feature vector identification in the color uniform the rescaled image is extracted. The accuracy of the method is about 95%. The RGB and the neural network plays a main role in the color identification.

Suggested Citation

Boddu, Praveen, Face Recognition and Pattern Recognition Based Dress-Code Monitoring for Students (February 20, 2020). International Journal of Advanced Science and Technology, 2020, Available at SSRN: https://ssrn.com/abstract=3580777

Praveen Boddu (Contact Author)

Saveetha School of Engineering, Student ( email )

Chennai, 602105
India
9884159996 (Phone)

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