2014 · 124 citations · 17 references
Artificial IntelligenceEngineeringMachine LearningCrohme CompetitionNatural Language ProcessingImage AnalysisData SciencePattern RecognitionText RecognitionComputational LinguisticsIcfhr 2014Character RecognitionCrohme 2014Optical Character RecognitionKnowledge DiscoveryComputer ScienceStatistical Pattern RecognitionDeep LearningLatest EditionPattern Recognition Application
We present the outcome of the latest edition of the CROHME competition, dedicated to on-line handwritten mathematical expression recognition. In addition to the standard full expression recognition task from previous competitions, CROHME 2014 features two new tasks. The first is dedicated to isolated symbol recognition including a reject option for invalid symbol hypotheses, and the second concerns recognizing expressions that contain matrices. System performance is improving relative to previous competitions. Data and evaluation tools used for the competition are publicly available.
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Francisco Álvaro, Joan Andreu Sánchez, José-Miguel Benedí · Pattern Recognition Letters · 2012 · 159 citations · Full text