Results 21 to 30 of about 226 (170)
ANALYSIS OF FACE RECOGNITION USING LBPH ALGORITHM: A REVIEW
Face-recognition is the process of identifying the facial features of a person. Human face measurements differ from person to person. Face- recognition includes face-detection and the concept of capturing real-time data and storing that as a data set. The system will be trained through the stored data set.
null Thejas P C, Nausheeda B.S +1 more
openaire +1 more source
An Efficient Face Detection and Recognition System Using RVJA and SCNN
The basic process for an extensive range of security systems functioning in real‐time applications is facial recognition. Considering several factors like lower resolution, occlusion, illumination, noise, along with pose variation, a satisfactory outcome was not achieved by various models developed for face recognition (FR).
P. Janarthanan +4 more
wiley +1 more source
Enterprise management has always been a hot issue in society. In today’s society, enterprises are no longer individuals cut off from society and no longer have profit as their sole purpose, but need to exist and develop in combination with social information.
Weiwei Zhang, Kuruva Lakshmanna
wiley +1 more source
Perbandingan Metode KNN Dan LBPH Pada Klasifikasi Daun Herbal
Herbal plants are plants that can be used as alternatives in natural healing of diseases, parts of plants that can be used such as roots, stems, tubers and leaves, in Southeast Sulawesi there are currently 1000 herbal plants and 10 sub-ethnicities that ...
Isman, Andani Ahmad, Abdul Latief
doaj +1 more source
A Statistical Image Feature‐Based Deep Belief Network for Fire Detection
Detecting fires is of significance to guarantee the security of buildings and forests. However, it is difficult to fast and accurately detect fire stages in complex environment because of the large variations of the fire features of color, texture, and shapes for flame and smoke images. In this paper, a statistic image feature‐based deep belief network
Dali Sheng +6 more
wiley +1 more source
A Discriminative Target Equation‐Based Face Recognition Method for Teaching Attendance
In this paper, we use discriminative objective equations to conduct an in‐depth study and analysis of face recognition methods in teaching attendance and use the model in actual teaching attendance. It focuses on the design and implementation of the attendance module, which uses wireless network technology to record students’ access to classrooms in ...
Feng Xu, Haiwei Wang, Miaochao Chen
wiley +1 more source
Animal Recognition System Based on Convolutional Neural Network
In this paper, the performances of well-known image recognition methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Local Binary Patterns Histograms (LBPH) and Support Vector Machine (SVM) are tested and compared with ...
Tibor Trnovszky +4 more
doaj +1 more source
Design of mobile disposal platform for emergency and joint defense based on Hadoop
In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop,
Zhang Lizhi, Li Xuewen
doaj +1 more source
A New Method for Face Recognition Using Convolutional Neural Network
In this paper, the performance of the proposed Convolutional Neural Network (CNN) with three well-known image recognition methods such as Principal Component Analysis (PCA), Local Binary Patterns Histograms (LBPH) and K–Nearest Neighbour (KNN) is tested.
Patrik Kamencay +3 more
doaj +1 more source
Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi
Genetic algorithm (GA) can improve the classification of the face recognition process in the principal component analysis (PCA). However, the accuracy of this algorithm for the smart home security system has not been further analyzed. This paper presents
Subiyanto Subiyanto +4 more
doaj +1 more source

