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Imaging simulated smeared fingers with a sensor based on scattered-light detection

机译:使用基于散射光检测的传感器对模拟的涂抹手指进行成像

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Fingerprint identification is susceptible to the surface conditions of a finger. We studied the effect of image degradations with our sensor technology based on scattered-light detection. To simulate a smeared finger, we printed small black dots on a transparent sheet and inserted it between a finger and our sensor. With a green light-emitting diode ( LED) as its light source, the rate of successful identification decreased constantly as the number of black dots increased. With a near-infrared LED, the rate remained almost constant when the total area covered by the black dots was less than 1% of the input area. The infrared LED generated a clearer image for oily fingers than the green LED as well. We attribute these findings to the presence of an internal fingerprint pattern, which near-infrared light can probe better. (C) 2008 The Optical Society of Japan.
机译:指纹识别容易受到手指表面状况的影响。我们使用基于散射光检测的传感器技术研究了图像退化的影响。为了模拟手指弄脏的情况,我们在透明纸上打印了一些小黑点,并将其插入手指和我们的传感器之间。使用绿色发光二极管(LED)作为光源,随着黑点数量的增加,成功识别率不断降低。对于近红外LED,当黑点覆盖的总面积小于输入面积的1%时,该速率几乎保持恒定。红外LED产生的油性手指图像也比绿色LED清晰。我们将这些发现归因于内部指纹图案的存在,近红外光可以更好地探测这种指纹。 (C)2008年日本光学学会。

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