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recogident.c Top-level identification l_int32 recogaIdentifyMultiple() Segmentation and noise removal l_int32 recogSplitIntoCharacters() l_int32 recogCorrelationBestRow() l_int32 recogCorrelationBestChar() static l_int32 pixCorrelationBestShift() Low-level identification of single characters l_int32 recogaIdentifyPixa() l_int32 recogIdentifyPixa() l_int32 recogIdentifyPix() l_int32 recogSkipIdentify() Operations for handling identification results static L_RCHA *rchaCreate() l_int32 *rchaDestroy() static L_RCH *rchCreate() l_int32 *rchDestroy() l_int32 rchaExtract() l_int32 rchExtract() static l_int32 transferRchToRcha() static l_int32 recogaSaveBestRcha() static l_int32 recogaTransferRch() l_int32 recogTransferRchToDid() Preprocessing and filtering l_int32 recogProcessToIdentify() PIX *recogPreSplittingFilter() PIX *recogSplittingFilter() Postprocessing SARRAY *recogExtractNumbers() Modifying recog behavior l_int32 recogSetTemplateType() l_int32 recogSetScaling() Static debug helper static void l_showIndicatorSplitValues() See recogbasic.c for examples of training a recognizer, which is required before it can be used for identification. The character splitter repeatedly does a greedy correlation with each averaged unscaled template, at all pixel locations along the text to be identified. The vertical alignment is between the template centroid and the (moving) windowed centroid, including a delta of 1 pixel above and below. The best match then removes part of the input image, leaving 1 or 2 pieces, which, after filtering, are put in a queue. The process ends when the queue is empty. The filtering is based on the size and aspect ratio of the remaining pieces; the intent is to remove anything that is unlikely to be text, such as small pieces and line graphics. After splitting, the selected segments are identified using the input parameters that were initially specified for the recognizer. Unlike the splitter, which uses the averaged templates from the unscaled input, the recognizer can use either all training examples or averaged templates, and these can be either scaled or unscaled. These choices are specified when the recognizer is constructed.
void rchDestroy ( L_RCH **prch )
rchDestroy() Input: &rch Return: void
void rchaDestroy ( L_RCHA **prcha )
rchaDestroy() Input: &rcha Return: void
l_int32 rchaExtract ( L_RCHA *rcha, NUMA **pnaindex, NUMA **pnascore, SARRAY **psatext, NUMA **pnasample, NUMA **pnaxloc, NUMA **pnayloc, NUMA **pnawidth )
rchaExtract() Input: rcha &naindex (<optional return> indices of best templates) &nascore (<optional return> correl scores of best templates) &satext (<optional return> character strings of best templates) &nasample (<optional return> indices of best samples) &naxloc (<optional return> x-locations of templates) &nayloc (<optional return> y-locations of templates) &nawidth (<optional return> widths of best templates) Return: 0 if OK, 1 on error Notes: (1) This returns clones of the number and string arrays. They must be destroyed by the caller.
l_int32 recogCorrelationBestRow ( L_RECOG *recog, PIX *pixs, BOXA **pboxa, NUMA **pnascore, NUMA **pnaindex, SARRAY **psachar, l_int32 debug )
recogCorrelationBestRow() Input: recog (with LUT's pre-computed) pixs (typically of multiple touching characters, 1 bpp) &boxa (<return> bounding boxs of best fit character) &nascores (<optional return> correlation scores) &naindex (<optional return> indices of classes) &sachar (<optional return> array of character strings) debug (1 for results written to pixadb_split) Return: 0 if OK, 1 on error Notes: (1) Supervises character matching for (in general) a c.c with multiple touching characters. Finds the best match greedily. Rejects small parts that are left over after splitting. (2) Matching is to the average, and without character scaling.
l_int32 recogIdentifyPix ( L_RECOG *recog, PIX *pixs, PIX **ppixdb )
recogIdentifyPix() Input: recog (with LUT's pre-computed) pixs (of a single character, 1 bpp) &pixdb (<optional return> debug pix showing input and best fit) Return: 0 if OK, 1 on error Notes: (1) Basic recognition function for a single character. (2) If L_USE_AVERAGE, the matching is only to the averaged bitmaps, and the index of the sample is meaningless (0 is returned if requested). (3) The score is related to the confidence (probability of correct identification), in that a higher score is correlated with a higher probability. However, the actual relation between the correlation (score) and the probability is not known; we call this a "score" because "confidence" can be misinterpreted as an actual probability.
l_int32 recogIdentifyPixa ( L_RECOG *recog, PIXA *pixa, NUMA *naid, PIX **ppixdb )
recogIdentifyPixa() Input: recog pixa (of 1 bpp images to match) naid (<optional> indices of components to identify; can be null) &pixdb (<optional return> pix showing inputs and best fits) Return: 0 if OK, 1 on error Notes: (1) See recogIdentifyPix(). This does the same operation for each pix in a pixa, and optionally returns the arrays of results (scores, class index and character string) for the best correlation match.
PIX * recogPreSplittingFilter ( L_RECOG *recog, PIX *pixs, l_float32 maxasp, l_float32 minaf, l_float32 maxaf, l_int32 debug )
recogPreSplittingFilter() Input: recog pixs (1 bpp, single connected component) maxasp (maximum asperity ratio (width/height) to be retained) minaf (minimum area fraction (|fg|/(w*h)) to be retained) maxaf (maximum area fraction (|fg|/(w*h)) to be retained) debug (1 to output indicator arrays) Return: pixd (with filtered components removed) or null on error
PIX * recogProcessToIdentify ( L_RECOG *recog, PIX *pixs, l_int32 pad )
recogProcessToIdentify() Input: recog (with LUT's pre-computed) pixs (typ. single character, possibly d > 1 and uncropped) pad (extra pixels added to left and right sides) Return: pixd (1 bpp, clipped to foreground), or null on error. Notes: (1) This is a lightweight operation to insure that the input image is 1 bpp, properly cropped, and padded on each side. If bpp > 1, the image is thresholded.
l_int32 recogSetScaling ( L_RECOG *recog, l_int32 scalew, l_int32 scaleh )
recogSetScaling() Input: recog scalew (scale all widths to this; use 0 for no scaling) scaleh (scale all heights to this; use 0 for no scaling) Return: 0 if OK, 1 on error
l_int32 recogSetTemplateType ( L_RECOG *recog, l_int32 templ_type )
recogSetTemplateType() Input: recog templ_type (L_USE_AVERAGE or L_USE_ALL) Return: 0 if OK, 1 on error
l_int32 recogSkipIdentify ( L_RECOG *recog )
recogSkipIdentify() Input: recog Return: 0 if OK, 1 on error Notes: (1) This just writes a "dummy" result with 0 score and empty string id into the rch.
l_int32 recogSplitIntoCharacters ( L_RECOG *recog, PIX *pixs, l_int32 minw, l_int32 minh, BOXA **pboxa, PIXA **ppixa, NUMA **pnaid, l_int32 debug )
recogSplitIntoCharacters() Input: recog pixs (1 bpp, contains only mostly deskewed text) minw (remove components with width less than this; use -1 for default removing out of band components) minh (remove components with height less than this; use -1 for default removing out of band components) &boxa (<return> character bounding boxes) &pixa (<return> character images) &naid (<return> indices of components to identify) debug (1 for results written to pixadb_split) Return: 0 if OK, 1 on error Notes: (1) This can be given an image that has an arbitrary number of text characters. It does splitting of connected components based on greedy correlation matching in recogCorrelationBestRow(). The returned pixa includes the boxes from which the (possibly split) components are extracted. (2) If either @minw < 0 or @minh < 0, noise components are filtered out, and the returned @naid array is all 1. Otherwise, some noise components whose dimensions (w,h) satisfy w >= @minw and h >= @minh are allowed through, but they are identified in the returned @naid, where they are labelled by 0 to indicate that they are not to be run through identification. Retaining the noise components provides spatial information that can help applications interpret the results. (3) In addition to optional filtering of the noise, the resulting components are put in row-major (2D) order, and the smaller of overlapping components are removed if they satisfy conditions of relative size and fractional overlap. (4) Note that the spliting function uses unscaled templates and does not bother returning the class results and scores. Thes are more accurately found later using the scaled templates.
l_int32 recogSplittingFilter ( L_RECOG *recog, PIX *pixs, l_float32 maxasp, l_float32 minaf, l_float32 maxaf, l_int32 *premove, l_int32 debug )
recogSplittingFilter() Input: recog pixs (1 bpp, single connected component) maxasp (maximum asperity ratio (width/height) to be retained) minaf (minimum area fraction (|fg|/(w*h)) to be retained) maxaf (maximum area fraction (|fg|/(w*h)) to be retained) &remove (<return> 0 to save, 1 to remove) debug (1 to output indicator arrays) Return: 0 if OK, 1 on error Notes: (1) We don't want to eliminate sans serif characters like "1" or "l", so we use the filter condition requiring both a large area fill and a w/h ratio > 1.0.
SARRAY * recogaExtractNumbers ( L_RECOGA *recoga, BOXA *boxas, l_float32 scorethresh, l_int32 spacethresh, BOXAA **pbaa, NUMAA **pnaa )
recogaExtractNumbers() Input: recog boxas (location of components) scorethresh (min score for which we accept a component) spacethresh (max horizontal distance allowed between digits, use -1 for default) &baa (<optional return> bounding boxes of identified numbers) &naa (<optional return> scores of identified digits) Return: sa (of identified numbers), or null on error Notes: (1) Each string in the returned sa contains a sequence of ascii digits in a number. (2) The horizontal distance between boxes (limited by @spacethresh) is the negative of the horizontal overlap. (3) We allow two digits to be combined if these conditions apply: (a) the first is to the left of the second (b) the second has a horizontal separation less than @spacethresh (c) the vertical overlap >= 0 (vertical separation < 0) (d) both have a score that exceeds @scorethresh (4) Each numa in the optionally returned naa contains the digit scores of a number. Each boxa in the optionally returned baa contains the bounding boxes of the digits in the number. (5) Components with a score less than @scorethresh, which may be hyphens or other small characters, will signal the end of the current sequence of digits in the number.
l_int32 recogaIdentifyMultiple ( L_RECOGA *recoga, PIX *pixs, l_int32 nitems, l_int32 minw, l_int32 minh, BOXA **pboxa, PIXA **ppixa, PIX **ppixdb, l_int32 debugsplit )
recogaIdentifyMultiple() Input: recoga (with training finished) pixs (containing typically a small number of characters) nitems (to be identified in pix; use 0 if not known) minw (remove components with width less than this; use -1 for removing all noise components) minh (remove components with height less than this; use -1 for removing all noise components) &boxa (<optional return> locations of identified components) &pixa (<optional return> images of identified components) &pixdb (<optional return> debug pix: inputs and best fits) debugsplit (1 returns pix split debugging images) Return: 0 if OK; 1 if more or less than nitems were found (a warning); 2 on error. Notes: (1) This filters the input pixa, looking for @nitems if requested. Set @nitems == 0 if you don't know how many chars to expect. (2) This bundles the filtered components into a pixa and calls recogIdentifyPixa(). If @nitems > 0, use @minw = -1 and @minh = -1 to remove all noise components. If @nitems > 0 and it doesn't agree with the number of filtered components in pixs, a warning is issued and a 1 is returned. (3) Set @minw = 0 and @minh = 0 to get all noise components. Set @minw > 0 and/or @minh > 0 to retain selected noise components. All noise components are recognized as an empty string with a score of 0.0. (4) An attempt is made to return 2-dimensional sorted arrays of (optional) images and boxes, which can then be used to aggregate identified characters into numbers or words. One typically wants the pixa, which contains a boxa of the extracted subimages.
l_int32 recogaIdentifyPixa ( L_RECOGA *recoga, PIXA *pixa, NUMA *naid, PIX **ppixdb )
recogaIdentifyPixa() Input: recoga pixa (of 1 bpp images to match) naid (<optional> indices of components to identify; can be null) &pixdb (<optional return> pix showing inputs and best fits) Return: 0 if OK, 1 on error Notes: (1) See recogIdentifyPixa(). This does the same operation for each recog, returning the arrays of results (scores, class index and character string) for the best correlation match.
Zakariyya Mughal <email@example.com>
This software is copyright (c) 2014 by Zakariyya Mughal.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.