Post by account_disabled on Aug 30, 2023 2:17:02 GMT -6
The varieties of OCR tools notably use the same operating principles. Pretreatment This first step allows OCR software to increase the chances of handwriting recognition. It mainly includes: Realignment: the body of the text must be perfectly aligned horizontally and vertically before processing. It can thus be turned a few degrees (clockwise or anti-clockwise), in order to ensure the accuracy of the reading. Deworming: this consists of removing unnecessary tasks from the document to be processed. Binarization: it is the fact of converting the image into only two colors, black and white. This task is the easiest and most accurate way to distinguish background texts.
particularly important for multicolumn tables for example. Word detection: it allows you to work on basic characters and words, by establishing shapes. Recognition of the script: the script UK Mobile Database of a text can be transformed at the level of the words, when one is in the presence of several linguistic documents. It is therefore essential to carry out its identification in this pre-processing phase. Extracting statistical properties from images Two main methods can be used to do image extraction in OCR .
It is : the detection algorithm which makes it possible to define a character, thanks to the evaluation of strokes and lines. pattern recognition that identifies the whole character. A line of text is recognizable by the lines of white pixels which provide black pixels in between. With the same method, it is possible to recognize the beginning and the end of a character. Post-processing Post-processing consists of providing clarifications and improvements to OCR when the tool is limited by a lexicon.
particularly important for multicolumn tables for example. Word detection: it allows you to work on basic characters and words, by establishing shapes. Recognition of the script: the script UK Mobile Database of a text can be transformed at the level of the words, when one is in the presence of several linguistic documents. It is therefore essential to carry out its identification in this pre-processing phase. Extracting statistical properties from images Two main methods can be used to do image extraction in OCR .
It is : the detection algorithm which makes it possible to define a character, thanks to the evaluation of strokes and lines. pattern recognition that identifies the whole character. A line of text is recognizable by the lines of white pixels which provide black pixels in between. With the same method, it is possible to recognize the beginning and the end of a character. Post-processing Post-processing consists of providing clarifications and improvements to OCR when the tool is limited by a lexicon.