Stroke-based performance metrics for handwritten mathematical expressions

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2011, Pages 334-338

  Zanibbi, Richard ^a   Pillay, Amit ^a   Mouchère, Harold ^b   Viard Gaudin, Christian ^b   Blostein, Dorothea ^c  

^a Rochester Institute of Technology   (United States)

^b UNIVERSITÉ DE NANTES   (France)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Graphics Recognition; Handwriting Recognition; Math Recognition; Performance Evaluation

Indexed keywords

BIPARTITE GRAPHS; COMPLEX INTERACTION; CRITERION FUNCTIONS; GRAPHICS RECOGNITION; GROUND TRUTH; HANDWRITING RECOGNITION; HANDWRITTEN STROKES; IMAGE PIXELS; MATH RECOGNITION; MATHEMATICAL EXPRESSIONS; MATHEMATICS RECOGNITION; PEN-BASED; PERFORMANCE EVALUATION; PERFORMANCE METRICS; PRIMITIVE TYPES; RECOGNITION ALGORITHM; SPATIAL STRUCTURE;

FUNCTIONS; GRAPH THEORY; IMAGE MATCHING; LEARNING ALGORITHMS;

CHARACTER RECOGNITION;

EID: 82355160877     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.75     Document Type: Conference Paper

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