Sentence examples for document segmentation from inspiring English sources

Exact(6)

There are a number of applications of this model, but a natural one is topical document segmentation which we explore in this paper.

Based on the observation that text textures provide fast-changed and relatively regular distributed edges in the wavelet transform domain, an efficient document segmentation algorithm is designed via cubic B-spline wavelets.

Document segmentation is a key phase in the KOMR system.

These methods are suitable for handwritten document segmentation, such as for GCN scores, which are compatible with X-Y projection, RLSA, scale-space analysis, and the Hough transform [40].

A corpus was assembled by selecting 800 p elements (i.e. paragraphs, in the most part) from those patents that had successfully passed through the paragraph deflattening and document segmentation phases of the semantic enrichment procedure, using a random process in which each paragraph had an equal chance of selection.

The next stage consists of general and domain-specific document segmentation scripts.

Similar(54)

However, the patterns can be utilized in document image segmentation and quality improvement.

A new approach to document image segmentation and quality improvement by moiré pattern analysis is proposed.

Therefore, obtaining the arrangement of the notes in a GCN score is requisite to document the segmentation.

Several document image segmentation methods have been proposed, with the best known being X-Y projection [34], run length smoothing algorithm (RLSA) [35], component grouping [36], scale-space analysis [37], Voronoi tessellation [38], and the Hough transform [39].

The OMR system for Kunqu Opera (KOMR), shown in Figure 6, is an off-line optical recognition system comprising six independent stages: (1) image pre-processing, (2) document image segmentation, (3) feature extraction, (4) musical symbol recognition, (5) musical semantics, and (6) MIDI representation.

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