
Proceedings Paper
Evaluating structural pattern recognition for handwritten math via primitive label graphsFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Currently, structural pattern recognizer evaluations compare graphs of detected structure to target structures
(i.e. ground truth) using recognition rates, recall and precision for object segmentation, classification and
relationships. In document recognition, these target objects (e.g. symbols) are frequently comprised of multiple
primitives (e.g. connected components, or strokes for online handwritten data), but current metrics do not
characterize errors at the primitive level, from which object-level structure is obtained. Primitive label graphs
are directed graphs defined over primitives and primitive pairs. We define new metrics obtained by Hamming
distances over label graphs, which allow classification, segmentation and parsing errors to be characterized
separately, or using a single measure. Recall and precision for detected objects may also be computed directly
from label graphs. We illustrate the new metrics by comparing a new primitive-level evaluation to the symbol-level
evaluation performed for the CROHME 2012 handwritten math recognition competition. A Python-based
set of utilities for evaluating, visualizing and translating label graphs is publicly available.
Paper Details
Date Published: 4 February 2013
PDF: 11 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865817 (4 February 2013); doi: 10.1117/12.2008409
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
PDF: 11 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865817 (4 February 2013); doi: 10.1117/12.2008409
Show Author Affiliations
Richard Zanibbi, Rochester Institute of Technology (United States)
Harold Mouchère, L’UNAM, IRCCyN, Univ. de Nantes (France)
Harold Mouchère, L’UNAM, IRCCyN, Univ. de Nantes (France)
Christian Viard-Gaudin, L’UNAM, IRCCyN, Univ. de Nantes (France)
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
© SPIE. Terms of Use
