Title:
Massively-Parallel-Approach-to-Pattern-Recognitio
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Description: Template matching is concerned with measuring the similarity
between patterns of two objects. This paper proposes a massively
parallel approach to pattern recognition with a large
template set. A class of image recognition problems inherently
needs large template sets, such as the recognition of Chinese
characters which needs thousands of templates. The proposed
algorithm is based on the SIMD-SM-R machine or the SIMD
machine with broadcasting abilities, which is the most popular
parallel machine to date, using a multiresolution method to
search for the matching template. The approach uses the
pyramid data structure for the multiresolution representation of
templates and the input image pattern. For a given image it
scans the template pyramid searching for the match. Implementation
of the proposed scheme is described.
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Massively Parallel Approach to Pattern Recognition.pdf
