Experiments with robust similarity measures for OCR
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This paper presents a novel SVM-based algorithm for visual object recognition, capable of learning model representations incrementally. We combine an incremental extension of SVMs with a method which reduces the number of support vectors needed to build th ...
Developing new techniques for human-computer interaction is very challenging. Vision-based techniques have the advantage of being unobtrusive and hands are a natural device that can be used for more intuitive interfaces. But in order to use hands for inter ...
Developing new techniques for human-computer interaction is very challenging. Vision-based techniques have the advantage of being unobtrusive and hands are a natural device that can be used for more intuitive interfaces. But in order to use hands for inter ...
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In human perception, the availability of context enhances recognition and renders it more robust to noise. Even if not all phonemes in a word (or words in a sentence etc.) are correctly perceived, humans can fill in missing parts with the help of cues from ...
This paper presents new techniques for slant and slope removal in cursive handwritten words. Both methods require neither heuristics nor parameter tuning. This avoids the heavy experimental effort required to find the optimal configuration of a parameter s ...
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This paper presents new techniques for slant and slope removal in cursive handwritten words. Both new methods make no use of heuristics and no manual parameter tuning is needed. This avoids the heavy experimental effort required to find the optimal configu ...
