Programmable Hamming Neural Network Feature Extractor for Handwritten Digit Classification
一种用于手写体数字分类的可编程Hamming神经网络特征提取器

A smart current\|mode programmable local feature extractor for handwritten digi t classification is put forward based on the principle of Hamming neural network . The templates can be programmable and their contents can be refr eshed according to different situation, and the way of features merging is also r econfigurable so as to merge the different features into different feature class es. A prototype chip of the feature extractor has been implemented in 1.2 micron singl e poly, double metal digital CMOS technology and both the simulated and measured results prove that the extractor can realize the feature extraction well.