text: As a general rule, data analytics are now mandatory for companies. Scanned document analysis brings additional challenges introduced by paper damages and scanning quality.In an industrial context, this work focuses on the automatic understanding of sale receipts which enable access to essential and accurate consumption statistics. Given an image acquired with a smart-phone, the proposed work mainly focuses on the first steps of the full tool chain which aims at providing essential information such as the store brand, purchased products and related prices with the highest possible confidence. To get this high confidence level, even if scanning is not perfectly controlled, we propose a double check processing tool-chain using Deep Convolutional Neural Networks (DCNNs) on one hand and more classical image and text processings on another hand.The originality of this work relates in this double check processing and in the joint use of DCNNs for different applications and text analysis.
  @cite_7: We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages. Effort has been concentrated on enabling generic multi-lingual operation such that negligible customization is required for a new language beyond providing a corpus of text. Although change was required to various modules, including physical layout analysis, and linguistic post-processing, no change was required to the character classifier beyond changing a few limits. The Tesseract classifier has adapted easily to Simplified Chinese. Test results on English, a mixture of European languages, and Russian, taken from a random sample of books, show a reasonably consistent word error rate between 3.72 and 5.78 , and Simplified Chinese has a character error rate of only 3.77 .
summary: Optical Character Recognition (OCR) has been a very active field for many years. More specifically, many applications addressing printed characters recognition already achieve good performance levels. Tesseract @cite_7 , ABBYY FineReader https: www.abbyy.com en-eu are widely used. In our specific application, they do not achieve perfect text recognition. Recently, the Google Vision API https: cloud.google.com vision proved to be one of the most efficient OCR but remains as a blackbox and does not ensure all the text to be recognized. We however use this as the best compromise. In addition, since the focus of this paper relates to the first steps of the processing chain, we do not need to go further into the details of the OCR topic and use it as a black-box tool.