Robustness of character recognition techniques to double print-and-scan process

Iuliia Tkachenko (1) , Petra Gomez-Krämer (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

The integrity check of printed and scanned documents is a hot topic these days. Several solutions were proposed for documents printed and scanned once. However forged documents quite often pass through a double Print-and-Scan (P&S) process. The P&S process impacts a lot the shape and color of characters. Therefore, the top OCR Engines cannot correctly recognize these characters. In this paper, we present the problems that the Tesseract OCR Engine faces with when trying to recognize the characters printed and scanned twice. We suggest to use the PCA based character recognition method that outperforms the Tesseract OCR in our experiments. We also show that the use of a pre-procesing step can improve the recognition results of double printed and scanned documents. Finally, we discuss the pros and cons of the PCA based recognition method.

Mots clés: double print-and-scan process; character recog-nition; printed document authentication; OCR robustness

Domaines: Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement du texte et du document

Iuliia Tkachenko, Petra Gomez-Krämer. Robustness of character recognition techniques to double print-and-scan process. First International Workshop on Computational Document Forensics, Nov 2017, Kyoto, Japan. ⟨hal-01900029⟩