VISEDGE - Visual Identity aSsurance for EDGE Cases
VISEDGE - Visual Identity aSsurance for EDGE Cases
批准号:
710471
负责人:
金额:
$12.59万
依托单位:
依托单位国家:
英国
项目类别:
GRD Proof of Concept
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
iProov是身份验证领域的先驱,我们称之为“012”的方法-零努力,一步,双因素身份验证。该公司结合专业人脸检测和移动终端技术,创新了一套识别算法。VISEDGE项目将这些功能扩展到“边缘案例”,将iProov服务扩展到以前无法识别的潜在用户。这对于服务的主流使用至关重要。iProov服务作为基于云的身份验证服务被提供给安全意识强的服务提供商,诸如金融机构、考试提供商、订阅服务提供商和需要精确识别用户的web服务。VISEDGE项目将研究和联合收割机候选算法,为用户提供健壮和可靠的登录服务。基于对困难的身份捕获情况的覆盖。这满足了高级潜在许可证持有者的要求,他们需要对解决方案进行商业验证。今天,虽然大量的学术研究已经在高度具体的情况下进行,没有商业数据存在的身份捕获“在野外”。VISEDGE伊萨一个概念验证项目,它将使iProov的覆盖范围扩展到“边缘”情况,并提供一个证据基础,以满足商业实施前的安全意识的潜在客户的需求。
英文摘要
iProov are a pioneer in the field of identity verification, with an approach we refer to as “012”– zero effort, one-step, two-factor authentication. The company has innovated a set ofidentification algorithms combining specialist face detection and mobile device technologies.The VISEDGE project extends these capabilities to ‘edge cases’, extending the iProov serviceto previously unidentifiable prospective users. This is critical for mainstream usage of theservice. The iProov service is provided as a cloud-based identity verification service tosecurity-conscious service providers, such as financial institutions, exam providers,subscription service providers and web services requiring precise identification of users.Password –related login mechanisms have long been problematic in these systems, and abiometric login service has distinct advantages.The VISEDGE project will research and combine candidate algorithms to provide robust andevidence-based coverage of difficult identity capture situations. This satisfies therequirements of advanced prospective licensees, who demand commercial validation ofsolutions. Today, although substantial academic research has been conducted in highlyspecific situations, no commercial data exists for identity capture ‘in the wild’. VISEDGE isa proof of concept project, which will enable the extension of iProov coverage to ‘edge’ cases,and provide an evidence base to satisfy the demands of security-savvy prospective customersin advance of commercial implementation.
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国内基金
海外基金
基于多幅图象的Visual Hull重构及表面属性建模算法研究
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批准号:60373031
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项目类别:面上项目
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资助金额:23.0万元
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批准年份:2003
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负责人:陈越
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依托单位: