Query: biometric based attendace system literature

title: Biometric Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements
abstract: The application of biometric recognition in personal authentication enables the growth of this technology to be employed in various domains. The implementation of biometric recognition systems can be based on physical or behavioral characteristics, such as the iris, voice, fingerprint, and face. Currently, the attendance tracking system based on biometric recognition for education sectors is still underutilized, thus providing a good opportunity to carry out interesting research in this area. As evidenced in a typical classroom, educators tend to take the attendance of their students by using conventional methods such as by calling out names or signing off an attendance sheet. Yet, these types of methods are proved to be time consuming and tedious, and sometimes, fraud occurs. As a result, significant progress had been made to mark attendance automatically by making use of biometric recognition. This progress enables a new and more advanced biometric based attendance system being developed over the past ten years. The setting up of biometric based attendance systems requires both software and hardware components. Since the software and hardware sections are too broad to be discussed in one paper, this literature survey only provides an overview of the types of hardware used. Emphasis is then placed on the microcontroller platform, biometric sensor, communication channel, database storage, and other components in order to assist future researchers in designing the hardware part of biometric based attendance systems.

title: Unimodal Biometric Based Security Application by Exploiting Retina
abstract: Biometrics based security is one of the current research trends. Though there are several prominent biometrics, retina is one of the biometrics that is literally difficult to alter or duplicate. However, the retinal based biometric systems are scarce in the existing literature. Hence, this article presents a unimodal biometric system, which relies on the retina of the human eye. This work accepts the retinal images from the DRIVE and VARIA datasets and the images are pre processed. The geometrical and textural features are then extracted from the retinal images to build the feature vector. The feature vectors are stored in the database. In the testing phase, the retinal image is collected from the user and the same processes such as image pre processing, feature extraction are performed and the feature vector is built. This feature vector is compared against the feature vector in the database by means of the similarity measure. The user is given access when a perfect match is encountered.

title: An efficient biometric based personal authentication system using Finger Knuckle Prints features
abstract: Among several biometric systems presented in the literature, Finger Knuckle Print (FKP) authentication systems have received a great deal of attention in recent years. The present paper investigates a novel method in order to extract the optimal discriminant features from FKP images. This method use the 1D Log Gabor filter, the Gabor filter bank and the Linear Discriminant Analysis (LDA) In the first step, the Region of Interest (ROI) of a FKP images is analysis with a 1D Log Gabor wavelet to extract the preliminary feature which is presented by the real parts of the filtered image. In the second step, a Gabor filter bank is applied on the preliminary feature in order to selection only the discriminative features of FKP image. Finally, in the third step, the LDA technique is used to reduce the dimensionality of this feature and enhance its discriminatory power. Our biometric system is based on Nearest Neighbour classifier which uses the cosine Mahalanobis distance for the matching process. Experimental results showed that the proposed system achieves better results than other state of the art systems.

title: Fog Computing Application for Biometric Based Secure Access to Healthcare Data
abstract: Healthcare 4.0 standards propose a personalized and precise medicine for effective therapy based on patient's genetic, environmental, and lifestyle parameters. Healthcare 4.0 standards promote a patient centric healthcare service delivery at his doorstep. This system enables patient's healthcare data sharing online among the doctors, hospitals, and other healthcare service providers to leverage the efficiency in healthcare services management. The foolproof authentication mechanism forms a gateway to any security system to ensure integrity, confidentiality, and authorization to prevent any intrusions into the healthcare systems. Today biometric security mechanisms are gaining significance in the Internet of Things (IoT) network security domain. Biometric technology analyzes an individual end user's physiological, behavioral, or morphological traits such as the face, fingerprint, iris, retina, voice, and handwritten signatures for authentication purposes. Authors have reviewed the relevant literature on biometric authentication systems and carried out a comparative study of the various biometric techniques, results, and applications. The national and international status of healthcare data protection acts and tools used for biometric authentication was discussed. This chapter deals with a complete design process of multi mode biometric based security layer to provide secure authentication to access healthcare data at the edge devices deployed in hospitals and patient's smart homes. Authors have discussed the prototype design for authentication of end users of healthcare data and carried out a face recognition experiment for authentication.

title: BAMHealthCloud: A Biometric Authentication and Data Management System for Healthcare Data in Cloud
abstract: Advancements in healthcare industry with new technology and population growth has given rise to security threat to our most personal data. The healthcare data management system consists of records in different formats such as text, numeric, pictures and videos leading to data which is big and unstructured. Also, hospitals have several branches at different locations throughout a country and overseas. In view of these requirements a cloud based healthcare management system can be an effective solution for efficient health care data management. One of the major concerns of a cloud based healthcare system is the security aspect. It includes theft to identity, tax fraudulence, insurance frauds, medical frauds and defamation of high profile patients. Hence, a secure data access and retrieval is needed in order to provide security of critical medical records in health care management system. Biometric authentication mechanism is suitable in this scenario since it overcomes the limitations of token theft and forgetting passwords in conventional token id password mechanism used for providing security. It also has high accuracy rate for secure data access and retrieval. In this paper we propose BAMHealthCloud which is a cloud based system for management of healthcare data, it ensures security of data through biometric authentication. It has been developed after performing a detailed case study on healthcare sector in a developing country. Training of the signature samples for authentication purpose has been performed in parallel on hadoop MapReduce framework using Resilient Backpropagation neural network. From rigorous experiments it can be concluded that it achieves a speedup of 9x, Equal error rate (EER) of 0.12, sensitivity of 0.98 and specificity of 0.95 as compared to other approaches existing in literature.

title: Multifeature Biometric Based Authentication System
abstract: Volume 6, Issue 3, May June 2017 Page 103 Abstract Authentication a system by biometrics is one of the systematic way of identifying a person without any spoofing. Multifeature biometric palm vein authentication is in the progression of being endlessly refined and developed. Multispectral palm vein biometric system has its applications over many areas which includes the access control, hospitals, bank and also in application of forensic. An individual's palm vein image is converted into data points by algorithms, which is then compressed, encrypted, and stored by the software. Whenever a person access it, the data is compared with the stored one and thus verification is done. This work proposes a multi feature palm vein recognition method where the features of the input images are extracted with the efficient methodologies like Spatio local binary pattern, which is the advanced technology of LPB and modified radon transform. Once after the features are extracted they are classified. This classification is done using Support Vector Machine (SVM) algorithm. The proposed method effectively accommodates the rotational, potential deformations and translational changes by encoding the orientation conserving features. The proposed system examines multifeature biometric based authentication system using a setup where the images are said to be contactless. These databases were obtained from CASIA and IIT Delhi. The results obtained are said to be effecient than any other results obtained using different methodologies in earlier papers discussed in the literature survey.

title: Biometric based Per Packet Authentication Techniques in Communication Networks
abstract: With the proliferation of sophisticated attacks against communication and information systems, existing protection mechanisms are becoming inefficient to guarantee an acceptable security level. Hence, new security techniques are being developed to keep up with the evolution of threats and exploits. One of the security issues that is being investigated by the research community is per packet authentication, where security mechanisms should be implemented to enforce the authentication of a specific network flow. This paper mainly focuses on the use of biometric techniques since they offer a promising potential to enforce per packet authentication policies in highly dynamic contexts. We provide a review of how biometrics have been proposed in the literature as an alternative to purely cryptographic mechanisms for per packet authentication. The drawbacks of the existing are pointed out and discussed. We finally explore the research niches that will shape the evolution of this field in the near future.

title: RETINA BASED BIOMETRIC AUTHENTICATION SYSTEM: A REVIEW
abstract: A biometric system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, the retinal biometric system is unique as well as stable. The retina is a secure and reliable source of person recognition as it lies behind the eye and is unforgeable. The process of recognition mainly includes pre processing, feature extraction and then feature matching. The features generally used in this process are either blood vessel features or non blood vessel features. In this paper, different methods available in the literature for retina based person authentication system are described, discussed and compared.

title: On enhancing serial fusion based multi biometric verification system
abstract: Design of a serial fusion based multi biometric verification system requires fixing several parameters, such as reject thresholds at each stage of the architecture and the order in which each individual verifier is placed within the multi stage system. Selecting the order of verifier is a crucial parameter to fix because of its high impact on verification errors. A wrong choice of verifier order might lead to tremendous user inconvenience by denying a large number of genuine users and might cause severe security breach by accepting impostors frequently. Unfortunately, this design issue has been poorly investigated in multi biometric literature. In this paper, we address this design issue by performing experiments using three different serial fusion based multi biometric verification schemes. We did our experiments on publicly available NIST multi modal dataset. We tested 24 orders all possible orders originated from four individual verifiers on a four stage biometric verification system. Our experimental results show that the verifier order "best to worst" where the best performing individual verifier is placed in the first stage, the next best performing individual verifier is placed in the second stage, and so on, is the top performing order. In addition, we have proposed a modification to the traditional architecture of serial fusion based multi biometric verification systems. With rigorous experiments on the NIST multi modal dataset and using three serial fusion based multi biometric verification schemes, we demonstrated that our proposed architecture significantly improves the performance of serial fusion based multi biometric verification systems.

title: A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
abstract: Biometrics is the branch of science that deals with the identification and verification of an individual based on the physiological and behavioral traits. These traits or identifiers are permanent, unique and can separate one individual from another. Biometric recognition systems integrate complex definitional, technological and operational selection under various contexts. The systems are not going to replace the authentication tools and technologies, but the combination of biometric approaches and authentication methods to help in improving the security aspects of the applications where user cooperation can be inferred. Biometric based recognition methods and tools have become popular for the development of many useful, challenging and widely accepted applications such as security issues, surveillance, forensic investigations, fraudulent technologies, identity access management and access control. These systems also help to identify an individual in group of industrial networks, home/office building and control system. For the successful implementation of the biometric systems, deep artificial neural networks are in great demand. These systems can be built up either on the single modality or multiple modalities. This article explicates the comprehensive and deep survey that compactly and systematically summarizes the literature work done on unimodal and multimodal biometric systems and analyzes the feature extraction techniques, classifiers, datasets, results, efficiency and reliability of the system with high and multi dimensional perspectives. This article also justifies in detail the classical methods, influential methods and taxonomy based on the biometric attributes. The goal is to aware the researchers of this area regarding various dimensions for the development of biometric systems to enhance the security aspects. The article begins with the fundamentals, types, need of system, challenges, uncertainties, motivations and then to the survey work. The tabular representation prepares for each biometric trait shows the author, year, major findings and results achieved with the synthesis analysis and the evaluation. The article finally ends up with the 3D biometric, a future perspective and concluding remarks.