Abstract
Hand-written signature is commonly used for authenticating a person. Extraction of desired features from the captured signature image is crucial for automated signature verification. Presence of a background line (which may be a part of a paper form) is common in an offline signature. Removal of this kind of background line is necessary for correct extraction of features. But sometimes, a signature contains a line as part of it. This paper shows how intensity distributions can distinguish a background line from a line which is part of a signature.
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Rakesh, K., Pal, R. (2014). Detecting Background Line as Preprocessing for Offline Signature Verification. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_17
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DOI: https://doi.org/10.1007/978-3-319-13817-6_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13816-9
Online ISBN: 978-3-319-13817-6
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