Design and Implementation of Face Recognition System in Matlab Using the Features of Lips

Gurumoorthy, Sasikumar; Tripathy, B. K.

doi:10.5815/ijisa.2012.08.04

Cited by 14 publications

(5 citation statements)

References 10 publications

(5 reference statements)

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“…They introduced a replacement biometric identification system based on lip shape biomeasures, a field in which very little analysis has being done. This is considered as good result and encourage for its use combined with other bioscience systems [11].…”

Section: Literature Serveymentioning

confidence: 63%

Study of Facial Expression Analysis of Feature Extraction Based on Lip Movement for User Authentication

Shah¹,

Jain²

2014

IJCA

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We are living in the 21st century , As the technology grows the security issues are gradually increasing and for those issues there is always a need for improvements in existing methods or there is a hope for new ideas towards this field. As we use the technology from everywhere in over daily life there is a challenge comes regarding data security or information hiding from the outer world and for this the human being is always helping us to words this problem. The human body is always a hot topic for the researchers for their research here we are using the same thing for over research purpose. The DNA analysis, Eye and finger print analysis be widely use for the security issues with this series we are using the Lips for over research. As a contribution we are proposing a Lip based security system for this we need to use the combination of several independent methods like facial expression analysis, talk analysis and text analysis by using these things we will be provide a new authentication idea for the world towards data security or system authentication.

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Section: Literature Serveymentioning

confidence: 63%

Study of Facial Expression Analysis of Feature Extraction Based on Lip Movement for User Authentication

Shah¹,

Jain²

2014

IJCA

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“…In order to achieve this perfect effect, it is necessary to intelligently set up the human-machine communication system, and implement and solve it through the intelligent system. The intelligent setting of the face recognition system is a major aspect of the intelligent development of the human-computer interaction system at present and in the future, and it will receive general attention [8].…”

Section: Related Workmentioning

confidence: 99%

Application of facial expression recognition based on domain-adapted convolutional neural network in English smart teaching system

Liu

2023

Soft Comput

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The application of the facial expression recognition system in the human-computer interaction system refers to the recognition of human facial expressions through the human-computer interaction system in the real society, so as to be able to feel the specific situation of recognizing people. This is also one of the main directions of human-computer interaction system research. In this paper, the facial expression recognition system is designed by the algorithm that combines the expressions of the students in the classroom teaching with the system environment, so that the recognition of the facial expressions of the students in the classroom environment is more accurate. This article elaborates on the identification method of the system, and conducts detailed experimental analysis on the specific functions of other modules in the system. The experimental results show that the security and stability of the system are very high. At the same time, the accuracy of the system in the classroom teaching environment is also very high in the recognition of student facial expressions. This is a modern intelligent face recognition system that enters education and teaching. Provide a strong theoretical basis and technical support during the work.

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“…Matching the features one wants to be identified with the standard features stored in a particular database beforehand can help in the recognition of desired attributes (15). Here, features of a face are detected, particularly the lips of a person, on the basis of already stored data for comparison.…”

Section: Literature Reviewmentioning

confidence: 99%

Detection and tracking of vehicles using license plate recognition

Kaur,

Singh

2023

BJCICN

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The density of vehicles on roads has increased manifold over the last few decades. A seamless system to detect and track a particular vehicle can solve many problems, like traffic congestion, etc. This paper proposes the use of real-time data taken from closed-circuit televisions to detect and track the movements of vehicles. The feature extraction and classification are completely done by the process of faster RCNN (regional convolutional neural networks). The core work is based on region proposal networks. CNN furthers the generation of features; classification is done separately, but it is aided by RCNN, which includes deep learning as well as training the neural network. This is used along with the Kanade Lukas Tomasi algorithm to tack the desired features extracted. This method is simulated on MATLAB software.

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Design and Implementation of Face Recognition System in Matlab Using the Features of Lips

Cited by 14 publications

References 10 publications

Study of Facial Expression Analysis of Feature Extraction Based on Lip Movement for User Authentication

Study of Facial Expression Analysis of Feature Extraction Based on Lip Movement for User Authentication

Application of facial expression recognition based on domain-adapted convolutional neural network in English smart teaching system

Detection and tracking of vehicles using license plate recognition

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