An on-line platform for ground truthing and performance evaluation of text extraction systems


Abstract:

This paper presents a set of on-line software tools for creating ground truth and calculating performance evaluation metrics for text extraction tasks such as localization, segmentation and recognition. The platform supports the definition of comprehensive ground truth information at different text representation levels while it offers centralised management and quality control of the ground truthing effort. It implements a range of state of the art performance evaluation algorithms and offers functionality for the definition of evaluation scenarios, on-line calculation of various performance metrics and visualisation of the results. The presented platform, which comprises the backbone of the ICDAR 2011 (challenge 1) and 2013 (challenges 1 and 2) Robust Reading competitions, is now made available for public use. © 2014 IEEE.

Año de publicación:

2014

Keywords:

  • Web images
  • text segmentation
  • Complex images
  • text recognition
  • Ground truth
  • Real scene images
  • Text localisation

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ciencias de la computación

Áreas temáticas:

  • Funcionamiento de bibliotecas y archivos