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Showing 1 to 9 of 9 for “"document image"”.

  1. Page segmentation and identification for document image analysis

    … segment and label a variety of real-life documents written in different languages. The main idea is to partition the whole document into different subimages and assign to each of them one of two labels: text or non-text (including graphics); and then identify the text, as one of three …

    concordia Repository record for Page segmentation and identification for document image analysis (opens in a new tab)

  2. Semantics-enriched workflow creation and management system with an application to document image analysis and recognition

    … retrieval, composition, and validation. Document image analysis and recognition is used as a representative application domain to evaluate the validity of the system. A new semantic model is proposed, covering a wide range of aspects of the target domain and adjacent fields. Real-world …

    salford Repository record for Semantics-enriched workflow creation and management system with an application to document image analysis and recognition (opens in a new tab)

  3. Contour Encoded Compression and Transmission

    … continues to rise, the need for efficient document image compression is becoming more and more apparent. In addition, because many digital library users access them from dial-up Internet connections, efficient strategies for compression and progressive transmission become essential to …

    byu Repository record for Contour Encoded Compression and Transmission (opens in a new tab)

  4. Fast Registration of Tabular Document Images Using the Fourier-Mellin Transform

    Image registration, the process of finding the transformation that best maps one image to another, is an important tool in document image processing. Having properly-aligned microfilm images can help in manual and automated content extraction, zoning, and batch compression of images. An image

    byu Repository record for Fast Registration of Tabular Document Images Using the Fourier-Mellin Transform (opens in a new tab)

  5. Registration and categorization of camera captured documents

    Camera captured document image analysis concerns with processing of documents captured with hand-held sensors, smart phones, or other capturing devices using advanced image processing, computer vision, pattern recognition, and machine learning techniques. As there is no constrained capturing in the …

    njit Repository record for Registration and categorization of camera captured documents (opens in a new tab)

  6. Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele.

    … of individual characters within a written text document image. The character segmentation problem remains extremely difficult for ancient Chinese calligraphy documents. This paper examines a glyph-based segmentation technique for segmenting Chinese Calligraphy characters in the "Collected …

    eastern-wash Repository record for Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele. (opens in a new tab)

  7. Skew estimation for document images

    … a series of skew estimation models for document images, which include the fiducial-line based which relies on the existence of text lines, the convex-hull based which relies on the existence of paragraphs or columns, and the straight-edge based which relies on the existence of …

    nus Repository record for Skew estimation for document images (opens in a new tab)

  8. Model-based identification of Oriental documents

    … capability of identifying languages printed in documents can support many potential applications including document classification for character recognition, translation, and language understanding. Language identification is normally done manually. However, the high volume and variety of …

    concordia Repository record for Model-based identification of Oriental documents (opens in a new tab)

  9. Mathematical Expression Detection and Segmentation in Document Images

    Various document layout analysis techniques are employed in order to enhance the accuracy of optical character recognition (OCR) in document images. Type-specific document layout analysis involves localizing and segmenting specific zones in an image so that they may be recognized by specialized OCR …

    vt Repository record for Mathematical Expression Detection and Segmentation in Document Images (opens in a new tab)