A Generic System For Classifying Variable Objects Using Flexible Template Matching
نویسندگان
چکیده
A technique for classifying variable objects using flexible template models is described. A model representing each class of object is generated from training examples and during recognition each model is fitted to the input image. The object represented by the model that maximises a fit measure is recognised as the input. The method has been tested on plant seeds, handprinted characters and human faces; quantitative results are presented.
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تاریخ انتشار 1993