Search for dissertations about: "handwritten character segmentation"

Found 3 swedish dissertations containing the words handwritten character segmentation.

  2. 1. Machine-Printed and Handwritten Ethiopic Script Recognition

    Author : Yaregal Assabie; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; HMM; Handwriting Recognition; OCR; Direction Field Tensor; Ethiopic Character Recognition; Amharic Word Recognition; Structure Tensor;

    Abstract : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. READ MORE

  4. 2. Template Based Recognition of On-Line Handwriting

    Author : Jakob Sternby; Matematik LTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; on-line handwriting recognition segmentation dynamic programming clustering discriminative clustering;

    Abstract : Software for recognition of handwriting has been available for several decades now and research on the subject have produced several different strategies for producing competitive recognition accuracies, especially in the case of isolated single characters. The problem of recognizing samples of handwriting with arbitrary connections between constituent characters (emph{unconstrained handwriting}) adds considerable complexity in form of the segmentation problem. READ MORE

  5. 3. Interpreting the Script : Image Analysis and Machine Learning for Quantitative Studies of Pre-modern Manuscripts

    Author : Fredrik Wahlberg; Anders Brun; Lasse Mårtensson; Ewert Bengtsson; Apostolos Antonacopoulos; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; document analysis; machine learning; image analysis; digital humanities; document dating; writer identification; text recognition; Datavetenskap; Computer Science;

    Abstract : The humanities have for a long time been a collection of fields that have not gained from the advancements in computational power, as predicted by Moore´s law.  Fields like medicine, biology, physics, chemistry, geology and economics have all developed quantitative tools that take advantage of the exponential increase of processing power over time. READ MORE