The cabinet is equally divided into many to keep a thing cabinet, then enlarged to keep thing space, Be also advantageous to classifying for cutlery, is the bosom is old in the meantime.

A fast location algorithm using classifying shrinkage in parameters space and a feature extraction method using improved wavelet cross-zero detection is presented.

Comparing with the traditional method, the volume of the new threshold space is noticeably minished. As a result, the precision of examining and classifying tobacco leaves is improved.