منابع مشابه
Style-preserving English handwriting synthesis
This paper presents a novel and effective approach to synthesize English handwriting in the user’s writing style. We select the most important features that depict the handwriting style, including character glyph, size, slant, and pressure, special connection style, letter spacing, and cursiveness. The features can be efficiently computed with the aid of our specially designed sample collecting...
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Handwriting originates from a particular copybook style such as Palmer or Zaner-Bloser that one learns in childhood. Since questioned document examination plays an important investigative and forensic role in many types of crime, it is important to develop a system that helps objectively identify a questioned document’s handwriting style. Here, we propose a computer vision system that can assis...
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Handwriting originates from a particular copybook style such as Palmer or Zaner-Bloser that one learns in childhood. Since questioned document examination plays an important investigative and forensic role in many types of crime, it is important to develop a system that helps objectively identify a questioned document’s handwriting style. Here, we propose a computer vision system that can assis...
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We present a system for recognizing o -line cursive English text, guided in part by global characteristics of the handwriting. A new method for nding the letter boundaries, based on minimizing a heuristic cost function, is introduced. The function is evaluated at each point along the baseline of the word to nd the best possible segmentation points. The algorithm tries to nd all the actual lette...
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We introduce a complete pipeline for recognizing and classifying people’s clothing in natural scenes. This has several interesting applications, including e-commerce, event and activity recognition, online advertising, etc. The stages of the pipeline combine a number of state-of-the-art building blocks such as upper body detectors, various feature channels and visual attributes. The core of our...
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ژورنال
عنوان ژورنال: International Journal on Document Analysis and Recognition
سال: 2003
ISSN: 1433-2833,1433-2825
DOI: 10.1007/s10032-003-0101-4