快速100/spl倍/100像素硅视网膜边缘提取与应用于OCR

Pierre-Yves Burgi, F. Heitger
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引用次数: 5

摘要

提出了一种利用时域对感知信息进行处理和编码的新型模拟VLSI结构。该体系结构基于可控制的过滤器来局部提取边缘信息(强度和方向)。该信息随后使用异步总线上传输的地址事件脉冲进行编码。对感觉信号的振幅进行采样的方式是,强振幅被分配为短延迟。此外,采样率可以动态控制,以确保在总线上的最佳信息传输。简要介绍了基于该前端结构的光学字符识别演示器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast 100/spl times/100 pixel silicon retina for edge extraction with application in OCR
A new analog VLSI architecture using the time domain for processing and encoding sensory information is proposed. This architecture is based on steerable filters to locally extract edge information (intensity and direction). This information is subsequently encoded using address-event pulses transmitted on asynchronous buses. The amplitude of the sensory signals are sampled in such a way that strong amplitudes are assigned short latencies. Furthermore, the sampling rate can be controlled dynamically to ensure optimum information transmission on the buses. An optical character recognition demonstrator, based on this front-end architecture, is briefly described.
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