User

Ana Calarasanu

From LRDE

  • Name: Ana Stefania Calarasanu
  • Email: calarasanu@lrde.epita.fr
  • Thesis subject: Improvement of a text detection chain and the proposition of a new evaluation protocol for text detection algorithms.
  • Ecole doctorale : EDITE
  • Supervisors: Jonathan Fabrizio(LRDE) and Severine Dubuisson(ISIR)
  • LinkedIn: https://fr.linkedin.com/in/ana-stefania-calarasanu-3b4b4a52

Research interests

  • Object detection
  • Feature extraction
  • Machine learning
  • Performance measurements
  • Document image analysis

Projects

EvaLTex (Evaluating Text Localization) is a unified evaluation framework used to measure the performance of text detection and text segmentation algorithms. It takes as input text objects represented either by rectangle coordinates or by irregular masks. The output consists of a set of scores, at local and global levels, and a visual representation of the behavior of the analysed algorithm through quality histograms.

Teaching

Theory of Rational Languages

  • TD & TP to 2nd-year students at EPITA (prepa)

Algorithms

  • TD & TP to 3rd-year students at EPITA (ing1)

Publications

 Publication type
From text detection to text segmentation: a unified evaluation schemeinproceedings
Improvement of a text detection chain and the proposition of a new evaluation protocol for text detection algorithmsphdthesis
TextCatcher: a method to detect curved and challenging text in natural scenesarticle
Towards the rectification of highly distorted textsinproceedings
Using histogram representation and Earth Mover's Distance as an evaluation tool for text detectioninproceedings
What is a good evaluation protocol for text localization systems? Concerns, arguments, comparisons and solutionsarticle