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    An overview of different binary methods for documents based on their features

    Fazeli, Fatemeh; Sarrafzadeh, Hossein; Shanbehzadeh, Jamshid

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    An Overview of Different Binary Methods for Documents Documents Based on Their Features-IMECS2013_pp491-495.pdf (883.6Kb)
    Date
    2013
    Citation:
    Fazeli, F., Sarrafzadeh, A., and Shanbehzadeh, J. (2013). An overview of different binary methods for documents based on their features. Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong, 1, 491-495.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2728
    Abstract
    This paper surveys binarization of document images. The main role of binarization is dimension and noise reduction. Binarization is one of the most important steps in preprocessing of document image understanding and compression. Image binarization means to classify image pixels into two classes, background and foreground. The input of this classification is a feature vector based on intensity values of image pixels. The new features are extracted from the first input vector and, according to the extracted features a cost function as a classifier is constructed. The intensity value that maximizes the cost function is considered as the boundary line of two classes. This paper divides the binarization algorithms into three groups. The first considers one input feature vector including intensity values of each pixel. The second one considers an input feature vector for each pixel based on the intensity value of the pixel and its neighbors. The third group is based on a combination of the first and second group of schemes.
    Keywords:
    binarization, thresholding, feature extraction, cost function, image preprocessing, image compression
    ANZSRC Field of Research:
    080106 Image Processing
    Copyright Holder:
    Newswood Ltd.
    Available Online at:
    http://www.iaeng.org/IMECS2013/
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [144]

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