We propose a new technique for normalizing likelihood of multiple classifiers prior to their combination. During a combination process we utilize the information about their efficiency correctly recognize a character with a given stroke number. In the beginning, we show that this recognizer's efficiency based on a stroke number is different for a common on-line and off-line recognizer. Later, we demonstrate on elementary combination rules, such as sum-rule and max-rule that using this information increases a recognition rate.
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