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eeeb4f513c
automatic layout analysis. git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@725 d0cd1f9f-072b-0410-8dd7-cf729c803f20
109 lines
4.4 KiB
C++
109 lines
4.4 KiB
C++
/**********************************************************************
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* File: paragraphs.h
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* Description: Paragraph Detection data structures.
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* Author: David Eger
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* Created: 25 February 2011
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*
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* (C) Copyright 2011, Google Inc.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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#ifndef TESSERACT_CCMAIN_PARAGRAPHS_H_
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#define TESSERACT_CCMAIN_PARAGRAPHS_H_
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#include "rect.h"
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#include "ocrpara.h"
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#include "genericvector.h"
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#include "strngs.h"
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class WERD;
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class UNICHARSET;
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namespace tesseract {
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class MutableIterator;
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// This structure captures all information needed about a text line for the
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// purposes of paragraph detection. It is meant to be exceedingly light-weight
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// so that we can easily test paragraph detection independent of the rest of
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// Tesseract.
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class RowInfo {
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public:
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// Constant data derived from Tesseract output.
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STRING text; // the full UTF-8 text of the line.
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bool ltr; // whether the majority of the text is left-to-right
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// TODO(eger) make this more fine-grained.
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bool has_leaders; // does the line contain leader dots (.....)?
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bool has_drop_cap; // does the line have a drop cap?
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int pix_ldistance; // distance to the left pblock boundary in pixels
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int pix_rdistance; // distance to the right pblock boundary in pixels
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float pix_xheight; // guessed xheight for the line
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int average_interword_space; // average space between words in pixels.
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int num_words;
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TBOX lword_box; // in normalized (horiz text rows) space
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TBOX rword_box; // in normalized (horiz text rows) space
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STRING lword_text; // the UTF-8 text of the leftmost werd
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STRING rword_text; // the UTF-8 text of the rightmost werd
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// The text of a paragraph typically starts with the start of an idea and
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// ends with the end of an idea. Here we define paragraph as something that
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// may have a first line indent and a body indent which may be different.
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// Typical words that start an idea are:
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// 1. Words in western scripts that start with
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// a capital letter, for example "The"
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// 2. Bulleted or numbered list items, for
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// example "2."
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// Typical words which end an idea are words ending in punctuation marks. In
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// this vocabulary, each list item is represented as a paragraph.
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bool lword_indicates_list_item;
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bool lword_likely_starts_idea;
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bool lword_likely_ends_idea;
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bool rword_indicates_list_item;
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bool rword_likely_starts_idea;
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bool rword_likely_ends_idea;
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};
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// Main entry point for Paragraph Detection Algorithm.
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//
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// Given a set of equally spaced textlines (described by row_infos),
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// Split them into paragraphs. See http://goto/paragraphstalk
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//
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// Output:
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// row_owners - one pointer for each row, to the paragraph it belongs to.
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// paragraphs - this is the actual list of PARA objects.
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// models - the list of paragraph models referenced by the PARA objects.
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// caller is responsible for deleting the models.
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void DetectParagraphs(int debug_level,
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GenericVector<RowInfo> *row_infos,
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GenericVector<PARA *> *row_owners,
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PARA_LIST *paragraphs,
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GenericVector<ParagraphModel *> *models);
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// Given a MutableIterator to the start of a block, run DetectParagraphs on
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// that block and commit the results to the underlying ROW and BLOCK structs,
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// saving the ParagraphModels in models. Caller owns the models.
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// We use unicharset during the function to answer questions such as "is the
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// first letter of this word upper case?"
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void DetectParagraphs(int debug_level,
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bool after_text_recognition,
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const MutableIterator *block_start,
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GenericVector<ParagraphModel *> *models);
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} // namespace
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#endif // TESSERACT_CCMAIN_PARAGRAPHS_H_
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