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Author (up) Marçal Rusiñol; Lluis Gomez; A. Landman; M. Silva Constenla; Dimosthenis Karatzas edit   pdf
  Title Automatic Structured Text Reading for License Plates and Utility Meters Type Conference Article
  Year 2019 Publication BMVC Workshop on Visual Artificial Intelligence and Entrepreneurship Abbreviated Journal  
  Volume Issue Pages  
  Abstract Reading text in images has attracted interest from computer vision researchers for
many years. Our technology focuses on the extraction of structured text – such as serial
numbers, machine readings, product codes, etc. – so that it is able to center its attention just on the relevant textual elements. It is conceived to work in an end-to-end fashion, bypassing any explicit text segmentation stage. In this paper we present two different industrial use cases where we have applied our automatic structured text reading technology. In the first one, we demonstrate an outstanding performance when reading license plates compared to the current state of the art. In the second one, we present results on our solution for reading utility meters. The technology is commercialized by a recently created spin-off company, and both solutions are at different stages of integration with final clients.
  Address Cardiff; UK; September 2019  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference BMVC-VAIE19  
  Notes DAG; 600.129 Approved no  
  Call Number Admin @ si @ RGL2019 Serial 3283  
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