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/******************************************************************************
** Filename: fxdefs.h
** Purpose: Generic interface definitions for feature extractors
** Author: Dan Johnson
** History: Fri Jan 19 09:04:14 1990, DSJ, Created.
**
** (c) Copyright Hewlett-Packard Company, 1988.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
******************************************************************************/
#ifndef FXDEFS_H
#define FXDEFS_H
/**----------------------------------------------------------------------------
Include Files and Type Defines
----------------------------------------------------------------------------**/
#include "tessclas.h"
#include "general.h"
/* define different modes for feature extractor - learning vs. classifying */
#define LEARN_MODE 0
#define CLASSIFY_MODE 1
/* define a data structure to hold line statistics. These line statistics
are used to normalize character outlines to a standard size and position
relative to the baseline of the text. */
typedef struct
{
SPLINE_SPEC *Baseline; /* collection of splines describing baseline */
SPLINE_SPEC *XHeightLine; /* collection of splines describing x-height */
FLOAT32 xheight; /* avg. distance from x-height to baseline */
FLOAT32 AscRise; /* avg. distance from ascenders to x-height */
FLOAT32 DescDrop; /* avg. distance from baseline to descenders */
/* always a negative number */
TEXTROW *TextRow; /* kludge - only needed by fx for fast matcher */
/* should be removed later */
}
LINE_STATS;
/* define a generic character description as a char pointer. In reality,
it will be a pointer to some data structure. Paired feature
extractors/matchers need to agree on the data structure to be used,
however, the high level classifier does not need to know the details
of this data structure. */
typedef char *CHAR_FEATURES;
/**----------------------------------------------------------------------------
Macros
----------------------------------------------------------------------------**/
/* macro to change and monitor the mode of the feature extractor.
In general, learn mode smears features which would otherwise be discrete
in nature; classify mode does not.*/
#define SetExtractMode(M) (ExtractMode = (M))
#define EnterLearnMode (SetExtractMode (LEARN_MODE))
#define EnterClassifyMode (SetExtractMode (CLASSIFY_MODE))
/*----------------------------------------------------------------------------
Public Function Prototypes
-----------------------------------------------------------------------------*/
void SetupExtractors();
void GetLineStatsFromRow(TEXTROW *Row, LINE_STATS *LineStats);
/*
#if defined(__STDC__) || defined(__cplusplus)
# define _ARGS(s) s
#else
# define _ARGS(s) ()
#endif*/
/* fxdefs.c
void GetLineStatsFromRow
_ARGS((TEXTROW *Row,
LINE_STATS *LineStats));
#undef _ARGS
*/
/**----------------------------------------------------------------------------
Global Data Definitions and Declarations
----------------------------------------------------------------------------**/
/* flag to control learn mode vs. classify mode */
extern int ExtractMode;
#endif