Md. Sabbir Ejaz, Md. Rabiul Islam, Md Sifatullah, Ananya Sarker
This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition. Security is an essential term in our today's life. In various Biometric technology, face recognition is widely used to secure any system because it is better than any other tradit...
Ananda Mohon Ghosh, Debashish Halder, SK Alamgir Hossain
Remote health caring of patients at home is increasing with the popularity of various nature of mobile devices that has developed to enable remotely caring. The cloud as well as IoT (Internet of Things) and the mobile technologies make it easier to monitor the patients health conditions by sharing t...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre et al.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each...
Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee et al.
In recent years, researchers have proposed many deep learning (DL) methods for various tasks, and particularly face recognition (FR) made an enormous leap using these techniques. Deep FR systems benefit from the hierarchical architecture of the DL methods to learn discriminative face representation....
Md Omar Faruqe, Md. Al Mehedi Hasan
Automatic recognition of people has received much attention during the recent years due to its many applications in different fields such as law enforcement, security applications or video indexing. Face recognition is an important and very challenging technique to automatic people recognition. Up t...
AC Pounds, Ronald Grigg, Theeravat Mongkolaussavaratana
Abstract The use of a new amino acid reagent 1,8-diazafluoren-9-one (DFO), which produces a highly fluorescent species with latent fingerprints on paper, is described. Spectral characteristics of the fluorescent fingerprint show excitation (λex approximately 470 nm) and emission (λex approximately 5...
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Kiranyaz, Mustafa Serkan et al.
Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other hand, keystroke dynamics-based systems achieve very high accuracy but have l...
Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo et al.
Recently, deep learning based facial landmark detection has achieved great success. Despite this, we notice that the semantic ambiguity greatly degrades the detection performance. Specifically, the semantic ambiguity means that some landmarks (e.g. those evenly distributed along the face contour) do...
Nur-A-Alam, Mostofa Ahsan, M.A. Based, Julfikar Haider et al.
This paper introduces an intelligent computational approach to automatically authenticate fingerprint for personal identification and verification. The feature vector is formed using combined features obtained from Gabor filtering technique and deep learning technique such as Convolutional Neural Ne...
Shermin Sultana, Asma Enayet, Ishrat Jahan Mouri
Over the years the process of manual attendance has been carried out which is not only time consuming but also provides erroneous result. Automated time and attendance monitoring system provides many benefits to organizations. This reduces the need of pen and paper based manual attendance tracking s...
Amena Khatun, Aminul Haque, Sabbir Ahmed, Mohammad Mahfujur Rahman
In the entire globe any educational organization is concerned in relation to the attendance of individuals because this has an effect on their overall performances. In conventional method attendance of students are taken by calling student names or signing on paper which is extremely time overwhelmi...
Arnob Paul, Tanvir Zaman Khan, Prajoy Podder, Rafi Ahmed et al.
Iris recognition system for identity authentication and verification is one of the most precise and accepted biometrics in the world. Portable iris system mostly used in law enforcement applications, has been increasing more rapidly. The portable device, however, requires a narrow-bandwidth communic...
Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M.W. Quinn et al.
With an increasing demand for stringent security systems, automated identification of individuals based on biometric methods has been a major focus of research and development over the last decade. Biometric recognition analyses unique physiological traits or behavioral characteristics, such as an i...
Tahia Fahrin Karim, Molla Shahadat Hossain Lipu, Md. Lushanur Rahman, Faria Sultana
The objective of this paper is to develop the image processing and recognize the faces using PCA-based face recognition technique. MATLAB based programs are implemented to identify the faces using Indian databases and the Face recognition data, University of Essex, UK. For matching unknown images wi...
Jayasree Baidya, Trina Saha, Moyashir Ryad, Rajesh Palit
Security has always been a major concern for the households and the office environment, and for this concern various approaches are in place to address the problem. Most of the major door lock security systems have several loopholes which could be broken down to gain access to the desired places, an...