ocr

How to use the OCR (TesseractOCR) php library

丶灬走出姿态 提交于 2021-02-20 19:21:29
问题 I had clone git library of OCR using this link . git clone git://github.com/thiagoalessio/tesseract-ocr-for-php.git then simply i include the required file by following this example here is the example code which i m trying to run require_once './src/TesseractOCR.php'; $tesseract = new TesseractOCR('text.png'); $text = $tesseract->recognize(); echo "The recognized text is:", $text; But always it fires a fatal Error Fatal error: Uncaught Error: Call to undefined method TesseractOCR::recognize(

How to use the OCR (TesseractOCR) php library

蓝咒 提交于 2021-02-20 19:17:09
问题 I had clone git library of OCR using this link . git clone git://github.com/thiagoalessio/tesseract-ocr-for-php.git then simply i include the required file by following this example here is the example code which i m trying to run require_once './src/TesseractOCR.php'; $tesseract = new TesseractOCR('text.png'); $text = $tesseract->recognize(); echo "The recognized text is:", $text; But always it fires a fatal Error Fatal error: Uncaught Error: Call to undefined method TesseractOCR::recognize(

Pytesseract - Using user patterns

╄→гoц情女王★ 提交于 2021-02-19 04:18:55
问题 I'm trying to use tesseract's user-patterns with pytesseract but can't seem to get the command working. This seems like it should be fairly straight forward but the documentation is sparse I'm on tesseract 3.05.01. Doing this doesn't work: pytesseract.image_to_string(image, config='--oem 0 bazaar --user-patterns ./timestamps.user_patterns') I have a bazaar file in /usr/local/share/tessdata/configs/bazaar that says this: load_system_dawg T load_freq_dawg T user_words_suffix user-words user

How to OCR image with Tesseract

浪子不回头ぞ 提交于 2021-02-19 03:33:12
问题 I am starting to learn OpenCV and Tesseract, and have trouble with what seems to be a very simple example. Here is an image that I am trying to OCR, that reads "171 m": I do some preprocessing. Since blue is the dominant color of the text, I extract the blue channel and apply simple thresholding. img = cv2.imread('171_m.png')[y, x, 0] _, thresh = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY_INV) The resulting image looks like this: Then throw that into Tesseract, with psm 7 for single line:

Microsoft Azure Cognitive Services Handwriting Detection Bounding Box Parameters

两盒软妹~` 提交于 2021-02-18 21:01:24
问题 I am currently using Microsoft Azure Cognitive Services Handwriting Detection API. The API returns a set of values for the bounding box: { "boundingBox": [ 2, 52, 65, 46, 69, 89, 7, 95 ], "text": "dog", . . . I would like to make sense of these 8 parameters. What is their significance and what do they reflect? I tried hard finding about them in Microsoft API's documentation, but of no use. Kindly help me understand what these parameters mean or link me to some place where this doubt can be

CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence

≯℡__Kan透↙ 提交于 2021-02-18 19:53:17
问题 CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence 回答1: your ground-truth (GT) text is too long. Your input matrix for the CTC loss function has a time-axis with length T. Your GT text must not be longer than T. Example: input matrix has length 4, your GT text is "world" with length 5, then there is no way that the matrix can contain this text, because it can encode at most 4 chars. If the GT text contains duplicate chars (like in pi zz a), then the CTC

CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence

99封情书 提交于 2021-02-18 19:52:12
问题 CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence 回答1: your ground-truth (GT) text is too long. Your input matrix for the CTC loss function has a time-axis with length T. Your GT text must not be longer than T. Example: input matrix has length 4, your GT text is "world" with length 5, then there is no way that the matrix can contain this text, because it can encode at most 4 chars. If the GT text contains duplicate chars (like in pi zz a), then the CTC

CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence

牧云@^-^@ 提交于 2021-02-18 19:48:54
问题 CTC LOSS ERROR InvalidArgumentError: Not enough time for target transition sequence 回答1: your ground-truth (GT) text is too long. Your input matrix for the CTC loss function has a time-axis with length T. Your GT text must not be longer than T. Example: input matrix has length 4, your GT text is "world" with length 5, then there is no way that the matrix can contain this text, because it can encode at most 4 chars. If the GT text contains duplicate chars (like in pi zz a), then the CTC

Tesseract - ERROR net.sourceforge.tess4j.Tesseract - null

丶灬走出姿态 提交于 2021-02-18 10:23:08
问题 Created a java application that uses Tesseract in order to convert a given image or pdf to a string format, when running it on my machine as a unit test using junit it runs great but when running the full system which is a restFul API run by tomcat that receives the image and runs Tesseract it gives me the following error: 23:22:36.511 [http-nio-9999-exec-3] ERROR net.sourceforge.tess4j.Tesseract - null java.lang.NullPointerException: null at net.sourceforge.tess4j.util.PdfUtilities

Does Google Cloud Vision API detect formatting in OCRed text like bold, italics, font name (helvetica or times new roman), etc?

我们两清 提交于 2021-02-17 05:35:31
问题 The quick brown fox jumps over the lazy dog In such a case like this, assuming there are different font families too, can cloud VIsion API detect this. Or any other OCR API detect this cleanly. Tesseract has capabilities but its so inaccurate. 回答1: ABBYY Cloud OCR will be quite accurate, but at the end, everything depends on your fonts and scanning quality. 回答2: Does google cloud vision API detect formatting in OCRed text like bold, italics, font name (helvetica or times new roman), etc?