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METHOD OF COMPARING IMAGES, NOTABLY FOR IRIS RECOGNITION, IMPLEMENTING AT LEAST ONE QUALITY MEASUREMENT DETERMINED BY APPLYING A STATISTICAL LEARNING MODEL
METHOD OF COMPARING IMAGES, NOTABLY FOR IRIS RECOGNITION, IMPLEMENTING AT LEAST ONE QUALITY MEASUREMENT DETERMINED BY APPLYING A STATISTICAL LEARNING MODEL
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机译：比较图像的方法，尤其是用于虹膜识别的方法，是采用统计学习模型确定的至少一项质量度量的实施方法
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摘要
The present invention relates to a method of comparing at least one test image with at least one reference image, comprising the steps consisting in: a) generating from the test image (I) a plurality of thumbnail images, b) calculating for each thumbnail image: - at least one quality measurement (Qj(b)) associated with this thumbnail image, - at least one quantity representative of the correlation (Ci) with the reference image or a subimage of the latter, c) calculating for the test image (I) a comparison score S(I,J) with the reference image (J), this score being a function of the quantity or quantities representative of the correlation (Ci) and of the quality measurement or measurements (Qj(b)).
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