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“…The strictly visual approach presented in [69] performs significantly lower than other methods, illustrating the importance of dynamic information for WD symbol recognition. This is confirmed by the high recognition rate reached by a DTW-based classifier [63]. Similarly to results in WI mode, the HBF49 approach performs better than an optimized, high-dimensional feature set from [63].…”
Section: Ironoff-digitsmentioning
confidence: 57%
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“…The strictly visual approach presented in [69] performs significantly lower than other methods, illustrating the importance of dynamic information for WD symbol recognition. This is confirmed by the high recognition rate reached by a DTW-based classifier [63]. Similarly to results in WI mode, the HBF49 approach performs better than an optimized, high-dimensional feature set from [63].…”
Section: Ironoff-digitsmentioning
confidence: 57%
“…This is confirmed by the high recognition rate reached by a DTW-based classifier [63]. Similarly to results in WI mode, the HBF49 approach performs better than an optimized, high-dimensional feature set from [63]. Only the heavy MCS system presents a better performance, of 99.51%.…”
Section: Ironoff-digitsmentioning
confidence: 62%
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