This paper describes an algorithm to estimate the text skew angle in a document image. The algorithm utilizes the recursive morphological transforms and yields accurate estimates of text skew angles on a large document image data set. The algorithm computes the optimal parameter settings on the fly without any human interaction. In this automatic mode, experimental results indicate that the algorithm generates estimated text skew angles within 0.5/spl deg/ of the true text skew angles with a probability of 99%. To process a 300 dpi document image, the algorithm takes 10 seconds on SUN Sparc 10 machines.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automatic text skew estimation in document images


    Contributors:
    Su Chen (author) / Haralick, R.M. (author) / Phillips, I.T. (author)


    Publication date :

    1995-01-01


    Size :

    438645 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Automatic Text Skew Estimation in Document Images

    Chen, S. / Haralick, R. M. / Phillips, I. T. | British Library Conference Proceedings | 1995



    An Automatic Algorithm for Text Skew Estimation in Document Images using Recursive Morphological Transforms

    Su, C. / Haralick, R. M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Efficient skew estimation and correction algorithm for document images

    Kwag, H. K. / Kim, S. H. / Jeong, S. H. et al. | British Library Online Contents | 2002


    Cooperation of Multi-Layer Perceptrons for the Estimation of Skew Angle in Text Document Images

    Rondel, N. / Burel, G. | British Library Conference Proceedings | 1995