Fingerprint images vary in quality. In order to ensure that the performance of an automatic fingerprint identification system (AFIS) will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement module in the AFIS system. In this paper, we introduce a new fingerprint enhancement algorithm which decomposes the input fingerprint i...

With the popularization of smartphone and the development of mobile internet, people’s demand on location-based services has increased. Indoors, users are often repeating the same movements, such as walking between main door, office, rest rooms. As a result, massive of pedestrian tracks have been produced. Fingerprint location algorithm based on Wi-Fi or Bluetooth is a popular method in indoor ...

Indoor positioning systems based on 802.11 and fingerprints offer reasonably low position errors. We study the key factors for position errors by systematically investigating (1) the number of access points, (2) the number of samples in the training phase, (3) the number of samples in the position determination phase, and (4) the setup of the grid of reference points. Further, we squeeze out th...

Position of mobile users has become highly important information in pervasive computing environments. Indoor localization systems based on Wi-Fi signal strength fingerprinting techniques are widely used in office buildings with existing Wi-Fi infrastructure. Our previous work has proposed a solution based on exploitation of FM signal to deal with environments not covered with Wi-Fi signal or en...

Fingerprint enhancement algorithm is used to improve the clarity of ridges and valleys of input fingerprint images. These kind of algorithm make them more suitable for the minutiae extraction algorithm. The ultimate criterion for evaluating such an enhancement algorithm is the total amount of “quality” improvement when the algorithm is applied to the noisy input fingerprint images. There are va...

Existing fingerprint segmentation methods usually process fingerprint images captured by different sensors with the same feature or feature set. We propose to improve the fingerprint segmentation result in view of an important fact that images from different sensors have different characteristics for segmentation. Feature usability evaluation, which means to evaluate the usability of features t...

We tackle the problem of localizing multiple sources in multipath environments using received signal strength (RSS) measurements. The existing sparsity-aware fingerprinting approaches only use the RSS measurements (autocorrelations) at different access points (APs) separately and ignore the potential information present in the cross-correlations of the received signals. We propose to reformulat...

The development of the Internet of Things (IoT) has accelerated research in indoor navigation systems, a majority of which rely on adequate wireless signals and sources. Nonetheless, deploying such a system requires periodic site-survey, which is time consuming and labor intensive. To address this issue, in this paper we present Canoe, an indoor navigation system that considers shopping mall sc...

Wi-Fi fingerprinting is widely used for indoor positioning and indoor navigation due to the ubiquity of wireless networks, high proliferation of Wi-Fi-enabled mobile devices, and its reasonable positioning accuracy. The assumption is that the position can be estimated based on the received signal strength intensity from multiple wireless access points at a given point. The positioning accuracy,...

Fingerprint recognition technology has been widely used in criminal investigation, attendance system, security testing and other fields and has become one of the most mature biometric technologies. Since fingerprint image quality affects heavily the performance of fingerprint recognition system, accurate evaluation of fingerprint image quality has great value in improving the performance of aut...