Distortion-Invariant Re ognition via Jittered Queries
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Distortion-Invariant Recognition via Jittered Queries
This paper presents a new approach for achieving distortion-invariant recognition and classification. A test example to be classified is viewed as a query intended to find similar examples in the training set (or class models derived from the training set). The key idea is that instead of querying with a single pattern, we construct a more robust query, based on the fami l y of patterns formed ...
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Off-line Handwriting Recognition Using Various Hybrid Modeling Techniques and Character N-grams
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تاریخ انتشار 2000