Though GPS is the most popular positioning system at present it does not perform well in indoor environments and metropolitan city areas. Wi-Fi positioning has received much attention due to its advantages with respect to indoor positioning and the wide spread of the Wi-Fi access points (APs). Its performance in an outdoor environment is also of interest as a Wi-Fi based positioning system can ...

Indoor fingerprinting localization approaches estimate the location of a mobile object by matching observations of received signal strengths (RSS) from access points (APs) with fingerprint records. In real WLAN environments, there are more and more APs available, with interference between them, which increases the localization difficulty and computational consumption. To cope with this, a novel...

The purpose of this research paper is to define a critical step in studying the statistics of fingerprint minutiae to reliably extract minutiae from the fingerprint images. It is necessary to employ the image enhancement techniques prior to minutiae extraction to obtain a more reliable estimate of the minutiae locations. Thus, fingerprint Image enhancement is to make the image clearer for easy ...

This paper presents a fingerprint synthesis method that can generate a fingerprint with predefined minutiae points. Fingerprint type is chosen randomly and singular points positions and quantities are chosen randomly according to the fingerprint type. Orientation map is generated using fingerprint orientation model. Frequency map is generated. Initial image with drawn minutiae points that are o...

A perceptual fingerprint hashing method is proposed for audio authentication in this paper. First, the biologic fingerprint image is divided into overlapping rectangle blocks by randomly using a chaotic sequence, and then the gravity center of each block is calculated. Finally, the perceptual Hashing value is generated based on the gravity center of each block. To authenticate the speech identi...

Automated latent fingerprint recognition has gained a lot of attention from the law enforcement agencies to identify the suspects. Even though the fingerprint technology is more advanced, still there are many latent cases pending all over the world, due to lack of automated latent fingerprint recognition and also due to inadequate feature details because of smudged data and partial fingerprints...

Orientation fields can be used to describe interleaved ridge and valley patterns of fingerprint image, providing features useful for fingerprint recognition. However, for tasks such as fingerprint indexing, additional image alignment is often required to avoid confounding effects caused by pose differences. In this paper, we propose to employ a set of polar complex moments (PCMs) for extraction...

Fingerprint segmentation is an important pre-processing step in automatic fingerprint identification system. Traditional fingerprint segmentation methods either highly depend on empirical thresholds sophistically chosen by experts or a learned model trained by elements generated from manually segmented fingerprints. It is manpower and time consuming. They always try their best to tune their fin...