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git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk/trunk@2 d0cd1f9f-072b-0410-8dd7-cf729c803f20
94 lines
3.7 KiB
C
94 lines
3.7 KiB
C
/******************************************************************************
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** Filename: fxdefs.h
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** Purpose: Generic interface definitions for feature extractors
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** Author: Dan Johnson
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** History: Fri Jan 19 09:04:14 1990, DSJ, Created.
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**
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** (c) Copyright Hewlett-Packard Company, 1988.
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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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#ifndef FXDEFS_H
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#define FXDEFS_H
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/**----------------------------------------------------------------------------
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Include Files and Type Defines
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----------------------------------------------------------------------------**/
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#include "tessclas.h"
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#include "general.h"
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/* define different modes for feature extractor - learning vs. classifying */
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#define LEARN_MODE 0
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#define CLASSIFY_MODE 1
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/* define a data structure to hold line statistics. These line statistics
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are used to normalize character outlines to a standard size and position
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relative to the baseline of the text. */
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typedef struct
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{
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SPLINE_SPEC *Baseline; /* collection of splines describing baseline */
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SPLINE_SPEC *XHeightLine; /* collection of splines describing x-height */
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FLOAT32 xheight; /* avg. distance from x-height to baseline */
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FLOAT32 AscRise; /* avg. distance from ascenders to x-height */
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FLOAT32 DescDrop; /* avg. distance from baseline to descenders */
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/* always a negative number */
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TEXTROW *TextRow; /* kludge - only needed by fx for fast matcher */
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/* should be removed later */
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}
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LINE_STATS;
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/* define a generic character description as a char pointer. In reality,
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it will be a pointer to some data structure. Paired feature
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extractors/matchers need to agree on the data structure to be used,
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however, the high level classifier does not need to know the details
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of this data structure. */
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typedef char *CHAR_FEATURES;
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/**----------------------------------------------------------------------------
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Macros
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----------------------------------------------------------------------------**/
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/* macro to change and monitor the mode of the feature extractor.
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In general, learn mode smears features which would otherwise be discrete
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in nature; classify mode does not.*/
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#define SetExtractMode(M) (ExtractMode = (M))
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#define EnterLearnMode (SetExtractMode (LEARN_MODE))
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#define EnterClassifyMode (SetExtractMode (CLASSIFY_MODE))
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/*----------------------------------------------------------------------------
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Public Function Prototypes
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-----------------------------------------------------------------------------*/
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void SetupExtractors();
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void GetLineStatsFromRow(TEXTROW *Row, LINE_STATS *LineStats);
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/*
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#if defined(__STDC__) || defined(__cplusplus)
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# define _ARGS(s) s
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#else
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# define _ARGS(s) ()
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#endif*/
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/* fxdefs.c
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void GetLineStatsFromRow
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_ARGS((TEXTROW *Row,
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LINE_STATS *LineStats));
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#undef _ARGS
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*/
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/**----------------------------------------------------------------------------
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Global Data Definitions and Declarations
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----------------------------------------------------------------------------**/
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/* flag to control learn mode vs. classify mode */
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extern int ExtractMode;
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#endif
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