113,087 research outputs found

    T. B. GUEST & CO. PTY. LTD.

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/64302Correspondence (some gaps) 1864-1948; accounts 1856-1948; price lists 1873-1945; wages books and engagement records 1872-1942; papers relating to company properties 1870-1920; papers relating to wartime contracts for biscuits 1915, 1941-1946; Government Commission and Board papers 1909-1920; plans 1877-1964; photographs, lantern slides and certificates 1856-1950. Guest Family: papers relating to family investments in property and mining 1877-1944. T.B. Guest Estate: Executor's correspondence, accounts, 1908-1943. Estate of Daniel Gibson (T.B. Guest was an executor for this prominent Melbourne investor): Correspondence, accounts, legal documents 1888-1907.114435 Acquisition: [1968.0021] "T. B. GUEST & CO. PTY. LTD.

    Information Technology- Biometric data interchange formats 19794 - 11: Signature/sign processed dynamic data

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    For the purpose of biometric comparison, ISO/IEC 19794-11:2013 specifies a data interchange format for processed signature/sign behavioural data extracted from a time series, captured using devices such as digitizing tablets, pen-based computing devices, or advanced pen systems. The data interchange format is generic, in that it may be applied and used in a wide range of application areas where handwritten signs or signature/signs are involved. No application-specific requirements or features are addressed in ISO/IEC 19794-11:2013. ISO/IEC 19794-11:2013 contains definitions of relevant terms, a description of what data is extracted, and a data format for containing the data, together with advice on whether a set of user's signature/sign is suitable for identification purposes using ISO/IEC 19794-11:2013. It is advisable that stored and transmitted biometric data is time-stamped and that cryptographic techniques be used to protect their authenticity, integrity, and confidentiality; however, such provisions are beyond the scope of ISO/IEC 19794-11:2013

    A feature based comparison of pen and swipe based signature characteristics

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    Dynamic Signature Verification (DSV) is a biometric modality that identifies anatomical and behavioral characteristics when an individual signs their name. Conventionally signature data has been captured using pen/tablet apparatus. However, the use of other devices such as the touch-screen tablets has expanded in recent years affording the possibility of assessing biometric interaction on this new technology. To explore the potential of employing DSV techniques when a user signs or swipes with their finger, we report a study to correlate pen and finger generated features. Investigating the stability and correlation between a set of characteristic features recorded in participant’s signatures and touch-based swipe gestures, a statistical analysis was conducted to assess consistency between capture scenarios. The results indicate that there is a range of static and dynamic features such as the rate of jerk, size, duration and the distance the pen traveled that can lead to interoperability between these two systems for input methods for use within a potential biometric context. It can be concluded that this data indicates that a general principle is that the same underlying constructional mechanisms are evident

    Enhancing off-line biometric signature verification using a fingerprint assessment approach

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    A method designed for matching biometric fingerprint images is applied to the static/image-based ”off-line” human signature modality. Using a publically available signature dataset, the verification performance is compared against three existing static methods. Furthermore, verification is assessed using all four methods within a multi-classifier system. The results show the application of the fingerprint method leads to a comparable performance with existing methods and a significant improvement is achieved within a multi-classifier configuration

    EMMEL: a framework for historical manuscript analysis and presentation

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    In this paper, a generic framework for historical manuscript image and data processing, visualisation and analysis is introduced with a focus on the modelling of manuscript metadata underpinning the interaction. The goal of such a framework is to capture the requirements from three types of activities involving historical manuscripts: presentation, management and analysis. In addition to an overall text-based description of an historical manuscript, a central requirement of such a framework is to associate rich media information (e.g. video, flash component, etc.) to the manuscript or a specific region of the manuscript. A second requirement is to enable interchange of the manuscript data as well as the attached information between users. As a result of an extensive analysis of requirements collected across a wide range of target user groups, an XML-based metadata language derived from a relational database model is proposed to form an historical document data model, and a prototype system is developed to demonstrate some of the advanced functionalities enabled by this data model. Thus, the proposed framework provides an important tool in promoting access to historical documents on a wide and diverse basis, embracing the fundamental principles of universal access to a shared cultural heritage
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