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Fingerprinting Localization Solutions (FPSs) enjoy huge popularity due to their good performance and minimal environment information requirement. Considered as a data-driven approach, many modern data analytics can be used to improve its performance. In this paper, we propose tow learning algorithms, namely a deep learning architecture for regression and Support Vector Machine (SVM) for classification,...
A considerable number of indoor positioning systems have been proposed for large-scale environments that extend over several meters. However, there has been less focus on designing an indoor localization system for confined environments where the requirements of reliability and precision are high. The approach discussed in this paper employs a hybrid technique where Received Signal Strength Indicator...
Dry and wet fingers lead to poor fingerprint quality, which means that it has impact for fingerprint recognition and matching. Recognition methods that are based on the feature of ridge, valley, minutiae or pore are affected by skin conditions. In this paper, we propose a novel dry fingerprint detection method for images with different resolutions using ridge features. The dry fingerprints have vague...
Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the lack of line of sight for radio frequency signals. Therefore, various systems have been developed to solve the indoor positioning problem. Enhancing the performance of these systems...
This paper presents a multi-instance fingerprint authentication system, which is immune to various problems encountered in unimodal systems. During enrolment all available fingerprints are captured and their unique features extracted, processed and stored in a database alongside the bio-data of individual subjects. Unique features of fingerprint were extracted using the crossing number (CN) technique...
Biometric R&D has to deal with personal data. From the Universal Declaration of Human Rights, privacy of a human being shall be protected, and this is addressed in different forms in each region of the world. In the case of the European Union, Data Protection Directives, Laws and Regulation have been established, and interpreted in different ways by each European Member State. Such a diversity...
In this research paper three biometric characteristics are used i.e. Fingerprint, Face, Iris at score level of Fusion. For finger print images two methods are used i.e. Minutiae Extraction and Gabor filter approach. For Iris recognition system Gabor wavelet is used for feature selection. For Face biometric system P.C.A. is used for feature selection. The match count of every trait is calculated. Then...
The current need for large multimodal databases to evaluate automatic biometrics recognition systems has motivated the development of the XJTU multimodal database. The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments. The acquisition process,...
This paper investigates the possibility to use Channel State Information (CSI) extracted from Long Term Evolution (LTE) signals for signal fingerprinting localization. Being the first work in this direction, several types of signal fingerprinting-based approaches have been compared (e.g., CSI-based vs RSSI-based, statistic vs deterministic matching rule). In particular, the paper proposes a novel...
Indoor localization is vital for location based services as well as security purposes. Wireless local area network (WLAN) positioning systems based on fingerprints of received signal strength (RSS) measured from access points, can be used for localization. Due to the effectiveness of fingerprinting in indoor positioning, fingerprinting network designers try to lower the cost of using this technique...
This work proposes an off-line handwritten signature identification system using the Histogram of Symbolic Representation (HSR). The HSR is considered as one-class classifier which has the ability to generate a model for each writer using only its own reference signatures. This method allows also modeling the writing style of each writer by taking into account the variability of signatures. To evaluate...
Localization method based on position fingerprint can effectively solve the problems such as high dependence of model and low positioning accuracy in robot auditory system. However, this method requires a large number of reference points to achieve high precision positioning. To solve the problem of low precision under low fingerprint density, a position fingerprint localization method based on linear...
This paper introduces a fitness data management system based on the Android platform for the strength fitness equipment, which can display, storage and mange fitness data. The server for this system is Tomcat and the mobile terminal's operating system is Android. App installed on the terminal interact with the database through HTTP transport protocol, which enable the visual management for fitness...
Considering the factors of environmental adaptability, laying cost and system complexity, the signal fingerprint positioning based on RFID systems has become a better choice of the positioning technology. Online and offline signal matching technology is very important stage for the signal fingerprint positioning. In this paper, we propose a signal matching algorithm in order to further improve the...
It is widely known that biometric systems based on adults fingerprints have reached an outstanding performance when compared against other biometric traits. This explains their extensive use by governmental agencies in charge of citizen identification. Nevertheless, the performance is highly degraded when fingerprints of newborns or toddlers are used. In this work, we analyze the performance of existing...
This paper proposes an effective fusion scheme for extracting more discriminative information from bimodal biometrics at data, feature and decision levels. In all these three levels of fusion, information from both face andfingerprint image of a single subject are fused to effectively represent it in a more discriminative ways. For all these three approaches, a combination of wavelet and principal...
Fingerprints are one of the most popular biometrics traits. Feature extraction and vector creation are crucial in fingerprint-matching algorithms. For increasing the confidence of fingerprint recognition, different feature vector forms are considered in literature. In this paper, we introduce a complete (fully-implemented) algorithm for fingerprint recognition. The work describes image preprocessing...
As wireless local area network, WLAN, access point (AP) are becoming very common wireless communication infrastructures in indoor environments, Wi-Fi signal based Indoor Positioning Systems (IPS) have been widely developed in recent years and one of the most popular technologies is the received signal strength (RSS) fingerprinting technology. However, due to large amount of time-consuming work required...
Due to lack of GPS signals' indoor coverage, the implementation of Signals of Opportunity (SoOp) such as FM signals, Wi-Fi, Bluetooth, RFID, and Cellular Networks for indoor localization has been considered. Not all SoOp are good performers because of some constraints; for instance, lack of accuracy, higher cost in deployment, additional hardware requirements. In this research, a new method of indoor...
Ranked Based Fingerprinting uses only ordering indices instead of actual Wi-Fi RSS values in order to make the algorithm insensitive to devices. A key component of the RBF algorithm is a similarity measure which is used to compare and find the closest ranked fingerprints. Previous papers study a few similarity measures; here we study 49 similarity measures in a test with a benchmark with publicly...
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