模拟CMOS实现的特征检测算子,用于自动实时光学字符识别系统

D. Caviglia, M. Tosato, Marco Mazzucco, G. M. Bo, M. Valle
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引用次数: 0

摘要

低功耗、高效率、小尺寸和实时光学字符识别(OCR)系统可以受益于(至少)一些组成模块的模拟VLSI实现。参考架构通常由直接连接到片上CMOS传感器的特征检测和提取块(FE)和分类器组成。FE的目的是在输入分类器之前减少手写字符图像中的信息冗余。给出并讨论了FE模块的模拟电路结构及其电路实现。它可以用于分段和非分段字符串。电路的实现是基于弱反转操作电路。实时速度、低功耗和小尺寸是通过在架构和电路级别进行仔细的功率-速度权衡优化实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analog CMOS implementation of feature detection operators for automatic real-time optical character recognition systems
Low-power, high efficiency, small size and real-time optical character recognition (OCR) systems can benefit from the analog VLSI implementation of (at least) some of their constituting modules. The reference architecture usually consists of a feature detection and extraction block (FE) directly interfaced to the on-chip CMOS sensor, and of a classifier. The FE purpose is to reduce the redundancy of information in handwritten character images prior to feeding the classifier. The analog circuit architecture of an FE block and its circuit implementation are presented and discussed. It can be used for both segmented and nonsegmented strings of characters. The circuit implementation is based on weak-inversion operated circuits. The real-time speed, low power and small size are achieved through careful power-speed tradeoff optimization at both architectural and circuit levels.
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