Multifinger Feature Level Fusion Based Fingerprint Identification

Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Feature level fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification

Information Exchange and Fusion in Dynamic and Heterogeneous Distributed Environments

Context awareness, dynamic reconfiguration at runtime and heterogeneity are key characteristics of future distributed systems, particularly in ubiquitous and mobile computing scenarios. The main contributions of this dissertation are theoretical as well as architectural concepts facilitating information exchange and fusion in heterogeneous and dynamic distributed environments. Our main focus is on bridging the heterogeneity issues and, at the same time, considering uncertain, imprecise and unreliable sensor information in information fusion and reasoning approaches. A domain ontology is used to establish a common vocabulary for the exchanged information. We thereby explicitly support different representations for the same kind of information and provide Inter-Representation Operations that convert between them. Special account is taken of the conversion of associated meta-data that express uncertainty and impreciseness. The Unscented Transformation, for example, is applied to propagate Gaussian normal distributions across highly non-linear Inter-Representation Operations. Uncertain sensor information is fused using the Dempster-Shafer Theory of Evidence as it allows explicit modelling of partial and complete ignorance. We also show how to incorporate the Dempster-Shafer Theory of Evidence into probabilistic reasoning schemes such as Hidden Markov Models in order to be able to consider the uncertainty of sensor information when deriving high-level information from low-level data. For all these concepts we provide architectural support as a guideline for developers of innovative information exchange and fusion infrastructures that are particularly targeted at heterogeneous dynamic environments. Two case studies serve as proof of concept. The first case study focuses on heterogeneous autonomous robots that have to spontaneously form a cooperative team in order to achieve a common goal. The second case study is concerned with an approach for user activity recognition which serves as baseline for a context-aware adaptive application. Both case studies demonstrate the viability and strengths of the proposed solution and emphasize that the Dempster-Shafer Theory of Evidence should be preferred to pure probability theory in applications involving non-linear Inter-Representation Operations.

Surface registration from range image fusion

The registration of full 3-D models is an important task in computer vision. Range finders only reconstruct a partial view of the object. Many authors have proposed several techniques to register 3D surfaces from multiple views in which there are basically two aspects to consider. First, poor registration in which some sort of correspondences are established. Second, accurate registration in order to obtain a better solution. A survey of the most common techniques is presented and includes experimental results of some of them

A review of sensor fusion techniques for underwater vehicle navigation

This work provides a general description of the multi sensor data fusion concept, along with a new classification of currently used sensor fusion techniques for unmanned underwater vehicles (UUV). Unlike previous proposals that focus the classification on the sensors involved in the fusion, we propose a synthetic approach that is focused on the techniques involved in the fusion and their applications in UUV navigation. We believe that our approach is better oriented towards the development of sensor fusion systems, since a sensor fusion architecture should be first of all focused on its goals and then on the fused sensors

Fusion 1 : science 11-14.

Proporciona una serie de recursos sobre el funcionamiento integrado del trabajo científico a los alumnos de la etapa 3 de secundaria (key stage 3). Está escrito para cumplir con los requisitos del programa de estudios de 2008, ayuda a desarrollar los conocimientos y habilidades científicos e incluye además actividades e investigaciones prácticas en cada una de las lecciones. Se acompaña del recurso para el profesor.

Fusion 1. Teacher book : science 11-14.

Ayuda a los profesores a planificar las clases de ciencias, contiene referencias al plan de estudios, objetivos y resultados del aprendizaje, habilidades funcionales, notas y sugerencias de deberes para completar las lecciones. Cumple con los requisitos del programa de estudios de 2008 y va destinado a los alumnos de la etapa 3 de secundaria (key stage 3). Se acompaña del libro del alumno.

Fusion 2 : science 11-14.

Proporciona una serie de recursos sobre el funcionamiento integrado del trabajo científico a los alumnos de la etapa 3 de secundaria (key stage 3). Está escrito para cumplir con los requisitos del programa de estudios de 2008, ayuda a desarrollar los conocimientos y habilidades científicos e incluye además actividades e investigaciones prácticas en cada una de las lecciones. Se acompaña del recurso para el profesor.

Fusion 2. Teacher book : science 11-14.

Ayuda a los profesores a planificar las clases de ciencias, contiene referencias al plan de estudios, objetivos y resultados del aprendizaje, habilidades funcionales, notas y sugerencias de deberes para completar las lecciones. Cumple con los requisitos del programa de estudios de 2008 y va destinado a los alumnos de la etapa 3 de secundaria (key stage 3). Se acompaña del libro del alumno.

Fusion 3 : science 11-14.

Proporciona una serie de recursos sobre el funcionamiento integrado del trabajo científico a los alumnos de la etapa 3 de secundaria (key stage 3). Está escrito para cumplir con los requisitos del programa de estudios de 2008, ayuda a desarrollar los conocimientos y habilidades científicos e incluye además actividades e investigaciones prácticas en cada una de las lecciones. Se acompaña del recurso para el profesor.

Fusion 3. Teacher book : science 11-14.

Ayuda a los profesores a planificar las clases de ciencias, contiene referencias al plan de estudios, objetivos y resultados del aprendizaje, habilidades funcionales, notas y sugerencias de deberes para completar las lecciones. Cumple con los requisitos del programa de estudios de 2008 y va destinado a los alumnos de la etapa 3 de secundaria (key stage 3). Se acompaña del libro del alumno.