1,006 research outputs found

    Offline Handwritten Signature Verification - Literature Review

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    The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced by an impostor). This has demonstrated to be a challenging task, in particular in the offline (static) scenario, that uses images of scanned signatures, where the dynamic information about the signing process is not available. Many advancements have been proposed in the literature in the last 5-10 years, most notably the application of Deep Learning methods to learn feature representations from signature images. In this paper, we present how the problem has been handled in the past few decades, analyze the recent advancements in the field, and the potential directions for future research.Comment: Accepted to the International Conference on Image Processing Theory, Tools and Applications (IPTA 2017

    Acesso a inovação e reestruturação produtiva da agricultura familiar no tropico Semi-Arido: o caso das comunidades rurais de Massaroca (Juazeiro, BA).

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    Esse artigo trata da reestruturacao da agricultura familiar nas comunidades rurais de Massaroca (Juazeiro, BA) em decorrencia do acesso as inovacoes e aos recursos, resultantes da intervencao das instituicoes de pesquisa e de desenvolvimento. Analisa-se a difusao da informacao e da inovacao via as redes de relacoes apropriadas da inovacao e dos recursos, assim como as consequencias. Os resultados das operacoes de desenvolvimento local mostram os beneficios coletivos para as comunidades em termos de representatividade e de acesso aos equipamentos. Evidenciam, tambem, uma diferenciacao social entre os produtores, estimulada pela valorizacao diferenciada da informacao e do credito rural

    A framework for the prospective analysis of super-diversity coming from high levels of immigration

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    Background Pressures to keep immigration rates at relatively high levels are likely to persist in most developed countries. At the same time, immigrant cohorts are becoming more and more diverse, leading host societies to become increasingly heterogeneous across multiple dimensions. For scholars who study demographic or socio-economic behaviours, the need to account for ethnocultural “super-diversity” brings new challenges and complications. Objective The main objective of this paper is to present a framework for the prospective analysis of super-diversity in several high immigration countries. Methods We developed microsimulation models that simultaneously project several population-dimensions for Canada, the United States and countries of the European Union, with the aim of studying the consequences of alternate future population and migration trends. Results The paper presents the projected progression of three indicators of diversity for Canada, the USA and the EU28: percentage of foreign-born population, percentage of the population using a non-official language at home and percentage of non-Christians under the reference scenario. Results from alternative scenarios show the potential impact of modifying the composition of migrant cohorts. The paper also examines the projected changes in the labour force for each region by education level and language. Finally, the paper proposes a new longitudinal indicator that counts the number of years lived as active and inactive over the life course for foreign- and native-born cohorts. Contribution The microsimulation models provide much more informative results than more traditional cohort-component or multi-state models to study the future effects of ethnocultural super-diversity on high immigration countries

    Structured frameworks to increase the transparency of the assessment of benefits and risks of medicines: current status and possible future directions

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    Structured frameworks for benefit-risk analysis in drug licensing decisions are being implemented across a number of regulatory agencies worldwide. The aim of these frameworks is to aid the analysis and communication of the benefit-risk assessment throughout the development, evaluation, and supervision of medicines. In this review, authors from regulatory agencies, pharmaceutical companies, and academia share their views on the different frameworks and discuss future directions
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