In this paper we describe an application of OCR techniques to quality control in industrial production. The purpose of the system is to verify the correct printing of numerical information in sachets with surgical material. Numerals are printed on an aluminium surface covered by a transparent plastic film, which can produce shadows or reflections in the image. The main difficulties for character recognition arise from low acquisition resolution, noise, heavy or light printing, and different printing patterns. The system must perform with an error rate lower than 0.1% and with the minimal computation time. Thus, we have decided to use well-known and simple algorithms, adding to them some refinements which take advantage of specific domain knowledge, making them more robust and reliable. The system is currently working with real production complying with the required specifications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Numerical recognition for quality control of surgical sachets


    Contributors:
    Valveny, E. (author) / Lopez, A. (author)


    Publication date :

    2003-01-01


    Size :

    362307 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Numeral Recognition for Quality Control of Surgical Sachets

    Valveny, E. / Lopez, A. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Recognition and Segmentation of Surgical Gestures

    Krishnan, Pooja | German Aerospace Center (DLR) | 2019

    Free access

    Surgical suite environmental control system

    Higginbotham, E. J. / Jacobs, M. L. | NTRS | 1974