1,721,104 research outputs found

    Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting

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    This letter investigates different velocity-based signal processing techniques to the aim of Parkinson's disease classification through handwriting. It is showed that combining new velocity-based features with classic features improves state-of-the-art performance on the PaHaW dataset

    Automatic signature verification in the mobile cloud scenario: survey and way ahead

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    On-line signature verification is typically carried out with the use of digitizing tablets specifically designed for the aim. So far, stand-alone systems have been mainly inspected, but the current distributed/cloud scenario and the amount of mobile devices in everyday life is calling for a new challenge. Within this scenario, signatures are acquired around the world with different kinds of devices and processed on multiple platforms in order to be veri-fied. Through the paper, the different phases of the signature ver-ification process in the new scenario are presented and the most valuable results are discussed considering the following aspects: accessibility and usability, interoperability, security and perfor-mance. Achievements as well as weakness are focused to high-light promising directions for further research and technology development

    Stability Analysis of Dynamic Signatures in Multiple Representation Domains: Application to Automatic Signature Verification

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    The objective of this paper is twofold. First, it presents an experimental investigation on stability of dynamic signatures. For the purpose, a well-suited index for estimating local stability is considered, based on a multiple matching strategy performed by Dynamic Time Warping. Second, the stability index is used to estimate local stability of dynamic signatures in different representation domains and to select the most profitable domain for automatic signature verification. The experimental results demonstrate the effectiveness of the new approach in estimating personal stability is signing and its utility in selecting the most profitable representation domain for signature verification

    Zoning Methods for Handwritten Character Recognition: A Survey

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    This paper presents a survey on zoning methods for handwritten character recognition. Through the analysis of the relevant literature in the field, the most valuable zoning methods are presented in terms of both topologies and membership functions. Throughout the paper, diverse zoning topologies are presented based on both static and adaptive approaches. Concerning static approaches, uniform and non-uniform zoning strategies are discussed. When adaptive zonings are considered, manual and automatic strategies for optimal zoning design are illustrated as well as the most appropriate zoning representation techniques. In addition, the role of membership functions for zoning-based classification is highlighted and the diverse approaches to membership function selection are presented. Concerning global membership functions, the paper introduces order-based approaches as well as fuzzy approaches using border-based and ranked-based fuzzy membership values. Concerning local membership functions, the recent parameter-based approaches are described, in which the optimal membership-function is selected for each zone of the zoning method. Finally, a comparative analysis on the performance of zoning methods is presented and the most interesting approaches are focused on in terms of topology design and membership function selection. A list of selected references is provided as a useful tool for interested researchers working in the field

    A New Class of Monotone Functions of the Residue Number System

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    This paper presents a new class of monotone functions that can be computed from the Residue Number System (RNS) to the integers. On the basis of these functions new implementations are proposed for residue-to-binary conversion and magnitude comparison that are superior to traditional techniques, if a modulus of the kind 2k (k integer) is included in the set of RNS moduli

    Modular engineering prototyping plan for speech recognition in a visual object oriented environment

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    A speech processing system may require many different processing steps. It is therefore useful to achieve a modularity that can ensure the re-usability of different processing units in different applications. In this paper an engineering approach to quickly create prototypes for speech recognizers based on HMM theory is proposed. The presented system can be used for many different selected speech applications. Here it has been tuned specifically for words and sentences recognition of a regional variety of Italian. Experimental results have been obtained using the AVIP corpus of Italian spontaneous speech. The prototyping sy stem is based on the "Khoros" software framework; it offers the possibility of easily implementing a processing system planned for high software modularity and re-usability. This approach leads to quick modifications and extensions of the planned speech system
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