python-tesseract

How to Create Traineddata file For Tesseract 4.1.0

由 不打扰是莪最后的温柔 提交于 2019-11-30 16:14:08
问题 I want to recognise the characters of NumberPlate. How to train the tesseract-ocr for respective number plate in ubuntu 16.04. Since i don't familiar with training. Please help me to create a 'traineddata' file for recognizing numberplate. I have 1000 images of number plate. Please look into it. Any help would be appreciate. So I have tried the following commands tesseract [langname].[fontname].[expN].[file-extension] [langname].[fontname].[expN] batch.nochop makebox tesseract eng.arial

identify clear text from image python

由 不想你离开。 提交于 2019-11-30 09:59:53
问题 i used pytesseract to identify text from image pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' then i used below code to identify text textImg = pytesseract.image_to_string(Image.open(imgLoc+"/"+imgName)) print(textImg) text_file = open(imgLoc+"/"+"oriText.txt", "w") text_file.write(textImg) text_file.close() this is my input image this is an image of my output text file is there any way to identify the text clearly from image 回答1: Your can try

how to avoid Permission denied while installing package for Python without sudo

由 大憨熊 提交于 2019-11-30 03:33:53
问题 I am trying to install the tesseract wrapper for python as user mike so that I can import tesseract . I'm following the guide here https://code.google.com/p/python-tesseract/wiki/HowToCompilePythonTesseractForCentos However, when I execute python setup.py install I get the error below: [Errno 13] Permission denied: '/usr/local/lib/python2.7/site-packages/test-easy-install-7351.write-test' The installation directory you specified (via --install-dir, --prefix, or the distutils default setting)

Image to text recognition using Tesseract-OCR is better when Image is preprocessed manually using Gimp than my Python Code

由 浪尽此生 提交于 2019-11-29 15:30:57
问题 I am trying to write code in Python for the manual Image preprocessing and recognition using Tesseract-OCR. Manual process: For manually recognizing text for a single Image, I preprocess the Image using Gimp and create a TIF image. Then I feed it to Tesseract-OCR which recognizes it correctly. To preprocess the image using Gimp I do - Change mode to RGB / Grayscale Menu -- Image -- Mode -- RGB Thresholding Menu -- Tools -- Color Tools -- Threshold -- Auto Change mode to Indexed Menu -- Image

How to get character wise confidence in tesseract using command line?

由 烈酒焚心 提交于 2019-11-29 11:51:21
I am able to get word level confidence score using tesseract 4.0 through the command line. Interested to know if there is a way to get the character confidence too. For word level confidence used the below command: tesseract [Image name] outputbase --oem 1 -l eng --psm 8 tsv Set hocr_char_boxes to 1 in your config file. Or, at the command line, your updated command would be: tesseract [Image name] outputbase --oem 1 -l eng --psm 8 -c hocr_char_boxes=1 hocr Note the hocr output option and look in that file for ... _wconf , e.g. <span class='ocrx_word' id='word_1_1' title='bbox 127 344 4618 6915

OSError: [Errno 2] No such file or directory using pytesser

由 徘徊边缘 提交于 2019-11-29 02:28:54
This is my problem, I want to use pytesser to get a picture's contents. My operating system is Mac OS 10.11, and I have already installed PIL, pytesser, tesseract-ocr engine, and other supporting libraries like libpng and so on. But when I run my code, as below, error occurs. from pytesser import * import os image = Image.open('/Users/Grant/Desktop/1.png') text = image_to_string(image) print text Next is the error message Traceback (most recent call last): File "/Users/Grant/Documents/workspace/image_test/image_test.py", line 10, in <module> text = image_to_string(im) File "/Users/Grant

Pytesseract: UnicodeDecodeError: 'charmap' codec can't decode byte

由 早过忘川 提交于 2019-11-28 09:14:30
问题 I'm running a large number of OCRs on screenshots with Pytesseract. This is working well in most cases, but a small number is causing this error: pytesseract.image_to_string(image,None, False, "-psm 6") Pytesseract: UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 2: character maps to <undefined> I'm using Python 3.4. Any suggestions how I can prevent this error from happening (other than just a try/except) would be very helpful. 回答1: Use Unidecode from unidecode import

How to get character wise confidence in tesseract using command line?

由 廉价感情. 提交于 2019-11-28 05:10:59
问题 I am able to get word level confidence score using tesseract 4.0 through the command line. Interested to know if there is a way to get the character confidence too. For word level confidence used the below command: tesseract [Image name] outputbase --oem 1 -l eng --psm 8 tsv 回答1: Set hocr_char_boxes to 1 in your config file. Or, at the command line, your updated command would be: tesseract [Image name] outputbase --oem 1 -l eng --psm 8 -c hocr_char_boxes=1 hocr Note the hocr output option and

How do I use the Tesseract API to iterate over words?

由 大憨熊 提交于 2019-11-27 22:42:40
问题 I'm trying to learn Python in parallel with the Tesseract API. My end goal is to learn how to use the Tesseract API to be able to read a document and do some basic error checking. I've found a few examples that seem to be good places to start, but I'm having trouble understanding the difference between two pieces of code that, while different in behavior, seem to me like they should be equivalent. These were both modified slightly from https://pypi.python.org/pypi/tesserocr . The first

Detect text region in image using Opencv

由 喜欢而已 提交于 2019-11-27 17:13:31
I have an image and want to detect the text regions in it. I tried TiRG_RAW_20110219 project but the results are not satisfactory. If the input image is http://imgur.com/yCxOvQS,GD38rCa it is producing http://imgur.com/yCxOvQS,GD38rCa#1 as output. Can anyone suggest some alternative. I wanted this to improve the output of tesseract by sending it only the text region as input. Amit Kushwaha import cv2 def captch_ex(file_name): img = cv2.imread(file_name) img_final = cv2.imread(file_name) img2gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ret, mask = cv2.threshold(img2gray, 180, 255, cv2.THRESH
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