Biometrics is an intersection of several sciences. It can be defined as a physical or behavioural pattern which can be measured to identify a person. It points to an automatic identification of a person based on his/her physical or behavioural characteristic. Biometric techniques are automated methods for verification or recognition of living people based on their physical and behavioural characteristics. Also, biometrics can be observed in broader and narrower context. Biometrics in the broad sense is a statistical study of biological phenomena, it is application of mathematics and statistics to understand living beings. In narrower sense, biometrics is a science studying possible person recognition based on their physical or behavioural characteristics.
Current research is based on age estimation of humans using their face images. Age estimation is an important task in classifying face images. Age estimation could be defined as the determination of the age of the person or his/her age group. Person's age can be determined in many ways, but current research is concerned with the age estimation based on two-dimensional photographs of people's faces.
During my research I collaborated with a number of great researchers in different areas ranging from information scieneces to economy, mathematics, databases and other.
The development of biometrics as a science is no longer subject to sporadic dealing by a handful of scientists but it is increasingly becoming a promising interdisciplinary science. This is backed by a large number of scientific journals and books published in the world and in Croatia. However, there are elements that are not represented enough in addressing this problem, and include standardization of so far discovered knowledge of biometrics, biometric characteristics, biometric systems and sensors. The modern approach to standardization of knowledge is shaping ontologies - formal presentation of domain concepts, individuals and relations. In previous studies, fthe basic concepts such as biometric biometric system, biometric models, biometric, biometric characteristics, biometric samples, biometric structure or characteristics, biometric structure or template, biometric sensors are formally described. Biometric database that will be the basis for testing and further research in the field of biometrics and standardization of biometric products and services will be developed.
Computing through a variety of devices such as smart phones, cars, clothing and household electrical appliances which increasingly include sophisticated processing and communication capabilities, becomes ubiquitous. With the growing Internet of Things, it remains only a matter of time before all these devices need to cooperate and/or compete, with eachother and with users, in order to provide better service to humanity.
These embedded computers are all autonomous and communication linked, and may therefore be modeled in the form of agents within the Multi-agent Systems. Thirty years ago it was science fiction that a billion people share a billion e-mails a day. Today one scenario in which millions of agents embedded in various devices and appliances cooperate also sounds futuristic. However, taking into account current trends in the development of electronics, we will soon have to manage large-scale multiagent systems, where millions of agents exist, cooperate and compete.
Our research has focused on enrichment methods of organizational design for the development of large-scale multiagent systems in order to advance the development of self-organizing and adaptive networks of different devices that will contribute to sustainable development of the information society.
Accordingly, our goal is to identify and formalize the appropriate methods of organizational design for large-scale multiagent systems in the form of publicly available semantic wiki system that will be our foundation for the development of domain ontologies in this area.
Knowledge management is especially important in SMEs and can substantially improve business performance and business capacity for innovation. Nevertheless, traditional knowledge management methodologies are often too formal, complicated, time-consuming and expensive for SMEs. Web 2.0 solutions, like social networking used for communication, collaboration and knowledge sharing within or between companies offer enormous competitive advantages in the form of increased innovation, productivity, agility and cost cuts to companies which embrace this new approach. Many companies are already using some technologies proposed by this methodology and with a bit of additional effort they can upgrade it to an actual knowledge management strategy. This handbook provides an effective framework for Knowledge Management 2.0 with the aim to guide companies wanting to professionally manage multimedia knowledge inside the company through the process of Knowledge Management 2.0 implementation.
OLAF carries out its mission, completely independently, through internal and external investigations. Although in recent years the number of investigations was stable, OLAF has recently experienced an increase in complex investigations. Investigations often target criminal organizations that exploit technological advances in the field of information technology and communications. In order to successfully fight them, there is a need for raising the level of training of law enforcement officials in the field of digital forensics throughout the European Union.
Through this project, the European Commission, ie. OLAF wishes, through courses on digital forensics, train the staff working for national and regional authorities. In addition, through the project, national experts in forensics will gain access to certificates that are recognized internationally.
Present authentication and identity proofing systems are constructed so that each person has several different identification or other cards and documents to prove their identity or achieve their rights. These documents include personal identity card, drivers licence, bank cards and other cards to prove membership in certain organizations, as well as many cards that we use to conduct daily business activities (entries into the computer system, entries in the protected areas etc.).
Using multiple cards to prove authorization and/or verification and the identity of the same person are usually a great burden for that person. Today, each person has between three and seven different cards to prove their identity or authorization in everyday activities.
Proposed project aims to build a multi-modal biometric smart card which will be able to consolidate all our existing cards into one and taking into account the consideration of legislation in the Republic of Croatia and EU recommendations.
A comparative analysis of biometric characteristics that can be stored on the smart card (in different variants RFID chips) will be made to obtain a basis for further construction of the card. The second step of the project is the construction of a universal algorithm for the extraction of data from the biometric characteristics. Different biometric characteristics use different algorithms for the extraction of data which makes it difficult to build a single model. Creation of this algorithm could obtain a unique vector for each selected biometric characteristics to be implemented on a smart card.
Implementing the extracted biometric data on smart cards will make a good identification/authentication/verification mechanism, capable to follow the contemporary ways of doing business on one side, and data security and privacy requirements on the other side.
Today, biometric systems are increasingly prevalent in all aspects of life and work. Their application and development are an area of intensive research. Terrorist attacks (especially attacks in the United States) that have occurred in recent years have fundamentally altered view of security in the world. Until recently accepted systems that were based on something you know (such as a password or PIN) or something you own (such as cards or keys) have now become scarce. Although the area of biometric systems and biometric characteristics is intensively investigated, and although the area has been developing rapidly, a unique system for assessing the quality of the systems themselves has not yet provided. Distrust of users in biometric systems, which are affected by both cultural and political reasons, led to a new way of understanding such estimates. Typically assessment based on false rejection or false acceptance of biometric samples insufficiently contributes to business decisions about biometric system. Using different biometric methods and techniques in scientific research is an everyday occurrence. The applicability and appropriateness of the various methods and techniques depend on a number of objective and subjective of factors. Development of a methodological approach for evaluating biometric characteristics provide the basis for a better and more purposeful use of the same in the respective methods and techniques. Balancing the assessment methodology of the evaluation of biometric features, also represents the beginning of the development of standards for assessing quality of biometric methods and techniques. The value of this approach lies in its universal application possibilities to the individual biometric techniques and the biometric methods. The universality of acceptance and uniform methodology are the basis for the development of standard evaluation of biometric systems.