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Tools for the efficient generation of hand-drawn corpora based on context-free grammars

Published: 01 August 2009 Publication History

Abstract

In sketch recognition systems, ground-truth data sets serve to both train and test recognition algorithms. Unfortunately, generating data sets that are sufficiently large and varied is frequently a costly and time-consuming endeavour. In this paper, we present a novel technique for creating a large and varied ground-truthed corpus for hand drawn math recognition. Candidate math expressions for the corpus are generated via random walks through a context-free grammar, the expressions are transcribed by human writers, and an algorithm automatically generates ground-truth data for individual symbols and inter-symbol relationships within the math expressions. While the techniques we develop in this paper are illustrated through the creation of a ground-truthed corpus of mathematical expressions, they are applicable to any sketching domain that can be described by a formal grammar.

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  • (2016)A Rapid Prototyping Approach to Synthetic Data Generation for Improved 2D Gesture RecognitionProceedings of the 29th Annual Symposium on User Interface Software and Technology10.1145/2984511.2984525(873-885)Online publication date: 16-Oct-2016
  • (2013)A new approach for recognizing handwritten mathematics using relational grammars and fuzzy setsInternational Journal on Document Analysis and Recognition10.1007/s10032-012-0184-x16:2(139-163)Online publication date: 1-Jun-2013
  • (2012)Automated labeling of ink stroke dataProceedings of the International Symposium on Sketch-Based Interfaces and Modeling10.5555/2331067.2331078(67-75)Online publication date: 4-Jun-2012
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    cover image ACM Conferences
    SBIM '09: Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
    August 2009
    168 pages
    ISBN:9781605586021
    DOI:10.1145/1572741
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 01 August 2009

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    View all
    • (2016)A Rapid Prototyping Approach to Synthetic Data Generation for Improved 2D Gesture RecognitionProceedings of the 29th Annual Symposium on User Interface Software and Technology10.1145/2984511.2984525(873-885)Online publication date: 16-Oct-2016
    • (2013)A new approach for recognizing handwritten mathematics using relational grammars and fuzzy setsInternational Journal on Document Analysis and Recognition10.1007/s10032-012-0184-x16:2(139-163)Online publication date: 1-Jun-2013
    • (2012)Automated labeling of ink stroke dataProceedings of the International Symposium on Sketch-Based Interfaces and Modeling10.5555/2331067.2331078(67-75)Online publication date: 4-Jun-2012
    • (2011)Is the iPad useful for sketch input?Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling10.1145/2021164.2021166(7-14)Online publication date: 5-Aug-2011
    • (2011)Analyzing sketch content using in-air packet informationProceedings of the 16th international conference on Intelligent user interfaces10.1145/1943403.1943476(403-406)Online publication date: 13-Feb-2011

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