Handwritten Document Image Processing
Identification, Matching, and Indexing of Handwriting in Noisy Document Images
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Throughout history, handwriting has been the primary means of recording information that is persevered across both time and space. With the coming of the electronic document era, we are challenged with making an enormous amount of handwritten documents available for electronic access. Though many handwritten documents contain only handwriting, now, more are mixed with printed text, noise, and background patterns. Handwriting in a printed document often indicates corrections, additions, or other supplemental information that should be treated differently from the main content. The mixture of ha...
Throughout history, handwriting has been the primary
means of recording information that is persevered
across both time and space. With the coming of the
electronic document era, we are challenged with
making an enormous amount of handwritten documents
available for electronic access. Though many
handwritten documents contain only handwriting, now,
more are mixed with printed text, noise, and
background patterns. Handwriting in a printed
document often indicates corrections, additions, or
other supplemental information that should be
treated differently from the main content. The
mixture of handwriting with other components
presents a great challenge for making an original
document electronically accessible. In this book, we
propose a novel
approach to separating a handwritten document into
different layers, such as handwriting, machine
printed text, noise, and background patterns. The
identified handwriting may be further analyzed. For
example, we propose a novel point-pattern based
handwriting matching technique and apply it for
handwriting synthesis and retrieval.
means of recording information that is persevered
across both time and space. With the coming of the
electronic document era, we are challenged with
making an enormous amount of handwritten documents
available for electronic access. Though many
handwritten documents contain only handwriting, now,
more are mixed with printed text, noise, and
background patterns. Handwriting in a printed
document often indicates corrections, additions, or
other supplemental information that should be
treated differently from the main content. The
mixture of handwriting with other components
presents a great challenge for making an original
document electronically accessible. In this book, we
propose a novel
approach to separating a handwritten document into
different layers, such as handwriting, machine
printed text, noise, and background patterns. The
identified handwriting may be further analyzed. For
example, we propose a novel point-pattern based
handwriting matching technique and apply it for
handwriting synthesis and retrieval.
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