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The Design of a Single-Bit CMOS Image Sensor for Iris Recognition Applications

机译:用于虹膜识别应用的单位CMOS图像传感器的设计

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摘要

This paper presents a single-bit CMOS image sensor (CIS) that uses a data processing technique with an edge detection block for simple iris segmentation. In order to recognize the iris image, the image sensor conventionally captures high-resolution image data in digital code, extracts the iris data, and then compares it with a reference image through a recognition algorithm. However, in this case, the frame rate decreases by the time required for digital signal conversion of multi-bit digital data through the analog-to-digital converter (ADC) in the CIS. In order to reduce the overall processing time as well as the power consumption, we propose a data processing technique with an exclusive OR (XOR) logic gate to obtain single-bit and edge detection image data instead of multi-bit image data through the ADC. In addition, we propose a logarithmic counter to efficiently measure single-bit image data that can be applied to the iris recognition algorithm. The effective area of the proposed single-bit image sensor (174 × 144 pixel) is 2.84 mm2 with a 0.18 μm 1-poly 4-metal CMOS image sensor process. The power consumption of the proposed single-bit CIS is 2.8 mW with a 3.3 V of supply voltage and 520 frame/s of the maximum frame rates. The error rate of the ADC is 0.24 least significant bit (LSB) on an 8-bit ADC basis at a 50 MHz sampling frequency.
机译:本文介绍了一种单位CMOS图像传感器(CIS),该传感器使用具有边缘检测块的数据处理技术进行简单的虹膜分割。为了识别虹膜图像,图像传感器通常以数字代码捕获高分辨率图像数据,提取虹膜数据,然后通过识别算法将其与参考图像进行比较。但是,在这种情况下,帧速率会降低通过CIS中的模数转换器(ADC)进行多位数字数据的数字信号转换所需的时间。为了减少总体处理时间和功耗,我们提出了一种数据处理技术,该逻辑具有异或(XOR)逻辑门,可通过ADC获得单比特和边缘检测图像数据,而不是多比特图像数据。另外,我们提出了一个对数计数器来有效地测量可应用于虹膜识别算法的单位图像数据。所提出的单位图像传感器(174×144像素)的有效面积为2.84 mm 2 ,采用0.18μm1-poly 4-metal CMOS图像传感器工艺。提议的单位CIS的功耗为2.8 mW,电源电压为3.3 V,最大帧速率为520帧/秒。在50 MHz采样频率下,基于8位ADC,ADC的错误率是0.24最低有效位(LSB)。

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