Petra Grd

Basic Principles and Trends in Hand Geometry and Hand Shape Biometrics

Hand geometry is based on the palm and fingers structure, including width of the fin‐ gers in different places, length of the fingers, thickness of the palm area, etc. Although these measurements are not very distinctive among people, hand geometry can be very useful for identity verification, i.e. personal authentication. Special task is to combine some non-descriptive characteristics in order to achieve better identification results. This techni‐ que is widely accepted and the verification includes simple data processing. Mentioned features make hand geometry an ideal candidate for research and development of new acquisition, preprocessing and verification techniques.

Open Directory Project based universal taxonomy for Personalization of Online (Re)sources

We examine the overall quality of Open Directory Project as a classifier.We compare several data grouping schemes and evaluate each of them.We show that ODP can be used both as a horizontal as well as vertical classifier.GENERAL grouping scheme yields best results for horizontal classification.Number of documents (limit models) yield best results for vertical classification. Content personalization reflects the ability of content classification into (predefined) thematic units or information domains. Content nodes in a single thematic unit are related to a greater or lesser extent. An existing connection between two available content nodes assumes that the user will be interested in both resources (but not necessarily to the same extent). Such a connection (and its value) can be established through the process of automatic content classification and labeling. One approach for the classification of content nodes is the use of a predefined classification taxonomy. With the help of such classification taxonomy it is possible to automatically classify and label existing content nodes as well as create additional descriptors for future use in content personalization and recommendation systems. For these purposes existing web directories can be used in creating a universal, purely content based, classification taxonomy. This work analyzes Open Directory Project (ODP) web directory and proposes a novel use of its structure and content as the basis for such a classification taxonomy. The goal of a unified classification taxonomy is to allow for content personalization from heterogeneous sources. In this work we focus on the overall quality of ODP as the basis for such a classification taxonomy and the use of its hierarchical structure for automatic labeling. Due to the structure of data in ODP different grouping schemes are devised and tested to find the optimal content and structure combination for a proposed classification taxonomy as well as automatic labeling processes. The results provide an in-depth analysis of ODP and ODP based content classification and automatic labeling models. Although the use of ODP is well documented, this question has not been answered to date.

Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing

In the past two decades ambient intelligence (AmI) has been a focus of research in different fields and from different points of view. It can be defined as an electronic environment consisting of devices capable of recognising people presence and responding in a certain way. The security and privacy in these kind of environments is still a challenge. With employing biometrics for person recognition in ambient intelligence, the devices could distinguish between different people in a non-intrusive way. With this, the privacy issue occurring in ambient intelligence is even more pronounced when combined with biometric recognition. This paper shows a privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing.

Creating a face database for age estimation and classification

Age classification and estimation is an important task in classifying face images. One way to classify humans by age is by using two-dimensional images of peoples faces. In order to create an accurate algorithm for age classification, appropriate datasets for training and testing are required. A small number of datasets are available for age estimation and classification based on images of human faces. In order to develop a more accurate algorithm, this paper compares existing age estimation databases and describes the process of creating a private database ageCFBP (Center for Forensics, Biometrics and Privacy age database) with facial images useful for age estimation and classification.

Using DEMF in process of collecting volatile digital evidence

Acquisition of volatile data for further forensic analysis still represents a challenge to both practitioners and researchers. The current tools used for acquisition of such data are focused exclusively on a way to capture content. However, the development of forensic science, in particular in the area of digital evidence in terms of the admissibility in court, has introduced additional elements to be evaluated. Mainly, the integrity of the collected digital evidence, authenticity and other elements of the digital chain of evidence to be presented in court. This paper describes a framework for capturing volatile data using Digital Evidence Management Framework (DEMF) with regards to integrity of captured data.