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Jim Wayman(英国首席专家):人脸和指纹:协调不同的生物特征图像质量概念.pdf

上传人: 芦苇 编号:651663 2025-05-01 15页 595.91KB

1、Reconciling Differing Concepts of Biometric Image QualityJames L.Wayman,Ph.D.,LFIEEE104/01/2025The Importance of DefinitionsNo quantity can be measured with more accuracy or precision than that in which it is defined Definitional accuracy and precision limits measurement accuracy and precisionDiffer

2、ent definitions will lead to different values and different applications for a 204/01/2025Complexities in Defining“Biometric Quality”ISO/IEC 29794-1“Information technology Biometric sample quality Part 1:Framework”presents 3 interrelated conceptualizations of“quality”Character:set of attributes asso

3、ciated with a biometric characteristic that cannot be controlled during the biometric acquisition process Biometric fidelity degree to which a biometric sample is representative of its source biometric characteristic Biometric utility degree to which a biometric sample supports biometric recognition

4、 304/01/2025“Character”“Biometric Recognition”is a human/machine technology “Character”,mentioned explicitly in all Parts of 29794,refers to human characteristics that“cannot be controlled”(by collector)but sometimes can be tested Implies Platos idealized concept of“form”Inherent demographic bias As

5、sumed but not tested Faces have 2 aligned eye sockets Time invariant Explicitly tested:Fingers have coherent friction ridges Face not occluded beards Iris boundaries concentric,iris/pupil/sclera gray scale difference 404/01/2025“Fidelity”Primarily technical characteristics of“representative”collecti

6、on Collection device characteristics defined in Annex D of relevant parts of ISO/IEC 39794“Extensible Biometric Interchange Formats”Limitations:Part 4(Contact FP),Part 5(Machine Readable Travel Docs)Concepts of“fidelity”differ across modes Illumination specified for Part 5(Face)and Part 6(Iris)but n

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本文探讨了生物识别图像质量的概念统一问题。作者James L. Wayman指出,定义的准确性决定了测量的精度,不同的定义会导致不同的测量值和应用。ISO/IEC 29794-1提出了质量的三种相互关联的概念:特性、生物识别忠实度和生物识别效用度。特性指不受控制采集过程影响的生物特征;忠实度是生物样本与其源生物特征的代表性程度;效用度是生物样本支持生物识别性能的程度。关键点包括:1) 定义的准确性和精度限制了测量的准确性;2) 生物识别质量的复杂定义涉及特性和采集设备的特性;3) 质量分数可预测性能指标,如错误匹配和错误非匹配率;4) 质量对错误匹配率的影响在相关标准中未得到充分考虑;5) 质量分数在实时反馈、数据融合和系统诊断中具有应用价值。建议所有ISO/IEC 29794部分应协调一致,考虑性能和符合性作为质量的合理方法,并在后端应用中包括成对的质量比较。
"生物识别图像质量的定义重要性" "如何评估生物识别图像的 '真实性' 和 '有效性'?" "生物识别系统中的前端和后端性能优化"
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