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Umlauted Characters are not properly shown after updating TYPO3 to 6.2


Umlauted Characters are not properly shown after updating TYPO3 to 6.2

By : user2956725
Date : November 22 2020, 10:56 AM
I wish did fix the issue. I experienced similar troubles when upgrading from 4.1 to 4.2. The following paragraphs are notes from my blog. Hope it helps.
Updating from TYPO3 4.1 (and earlier versions) to 4.2 (and later)
code :


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Replacing accented/umlauted characters with their unadorned counterparts in C#

Replacing accented/umlauted characters with their unadorned counterparts in C#


By : Joe
Date : March 29 2020, 07:55 AM
it should still fix some issue Just was going to post the same link :-)
Sounds like you're doing this already, but I would recommend that you store the original string for display in your application, and only do this for the 3rd-party stuff. People get cranky if they don't think their real name is important :-)
Accented/umlauted characters in C?

Accented/umlauted characters in C?


By : Sunjay Dhama
Date : March 29 2020, 07:55 AM
wish helps you In general encoding stuff is quite complicated. On the other hand if you just want a dirty solution specific to your compiler/platform than add something like this to your code:
code :
printf("letter 0x%x is number %d\n", letter, letter_nr(letter));
#include <stdio.h>

// scanf for for letter. Return position in Morse Table. 
// Recognises UTF8 for swedish letters.
int letter_nr()
{
  unsigned char letter;
  // scan for the first time,
  scanf("%c", &letter);
  if(0xC3 == letter)
  {
    // we scanf again since this is UTF8 and two byte encoded character will come
    scanf("%c", &letter);
    //LATIN SMALL LETTER A WITH RING ABOVE = å
    if(0xA5 == letter)
      return 26;
    //LATIN SMALL LETTER A WITH DIAERESIS = ä
    if(0xA4 == letter)
      return 27;
   // LATIN SMALL LETTER O WITH DIAERESIS = ö
    if(0xB6 == letter)
      return 28;

    printf("Unknown letter. 0x%x. ", letter);
    return -1;
  } 
  // is seems to be regular ASCII
  return letter - 97;
 } // letter_nr

int main()
{   
    while(1)
    {
        printf("Type a letter to get its position: ");

        int val = letter_nr();
        if(-1 != val)
          printf("Morse code is %d.\n", val);
        else
          printf("Unknown Morse code.\n");

        // strip remaining new line
    unsigned char new_line;
    scanf("%c", &new_line);         
    }
    return 0;
}
Characters not shown properly Visual Studio

Characters not shown properly Visual Studio


By : James T. Ryder
Date : March 29 2020, 07:55 AM
I hope this helps . I made a database in PhpMyAdmin and developed an application in Visual Studio 2010 C#. , Solved problem: added to connectionString charset=utf8
code :
connectionString="..... ;Default Command Timeout=300000; charset=utf8;"
Identifying umlauted characters during OCR using opencv

Identifying umlauted characters during OCR using opencv


By : Rosa Lemus
Date : March 29 2020, 07:55 AM
around this issue I am processing the multiline image as below. , This will give what you want.
This is the code segment I added:
code :
# dilation
kernel = np.ones((10, 1), np.uint8)
joined = cv2.dilate(thresh_1, kernel, iterations=1)
cv2.imshow('joined', joined)
cv2.waitKey(0)
import cv2
import numpy as np
image = cv2.imread("D:\\Users\\Downloads\\CaptureMultiLines.jpg")
cv2.imshow('orig',image)
# image = cv2.resize(image_original,None,fx=4, fy=4, interpolation = cv2.INTER_CUBIC)

#grayscale
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
# original_resized = cv2.resize(gray, (0,0), fx=.2, fy=.2)
cv2.imshow('gray',gray)
cv2.waitKey(0)

#Remove Salt and pepper noise
saltpep = cv2.fastNlMeansDenoising(gray,None,9,13)
# original_resized = cv2.resize(saltpep, (0,0), fx=.2, fy=.2)
cv2.imshow('Grayscale',saltpep)
cv2.waitKey(0)

#blur
blured = cv2.blur(saltpep,(3,3))
# original_resized = cv2.resize(blured, (0,0), fx=.2, fy=.2)
cv2.imshow('blured',blured)
cv2.waitKey(0)

#binary
ret,thresh = cv2.threshold(gray,127,255,cv2.THRESH_BINARY_INV)
# original_resized = cv2.resize(thresh, (0,0), fx=.2, fy=.2)
cv2.imshow('Threshold',thresh)
cv2.waitKey(0)

#dilation
kernel = np.ones((5,100), np.uint8)
img_dilation = cv2.dilate(thresh, kernel, iterations=1)
# original_resized = cv2.resize(img_dilation, (0,0), fx=.2, fy=.2)
cv2.imshow('dilated',img_dilation)
cv2.waitKey(0)

#find contours
im2,ctrs, hier = cv2.findContours(img_dilation.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

#sort contours
sorted_ctrs = sorted(ctrs, key=lambda ctr: cv2.boundingRect(ctr)[1])

for i, ctr in enumerate(sorted_ctrs):

    # Get bounding box
    x, y, w, h = cv2.boundingRect(ctr)

    # Getting ROI
    roi = image[y:y+h, x:x+w]

# #   show ROI
    cv2.imshow('segment no:' +str(i),roi)
    cv2.waitKey(0)


    im = cv2.resize(roi,None,fx=4, fy=4, interpolation = cv2.INTER_CUBIC)
    ret_1,thresh_1 = cv2.threshold(im,127,255,cv2.THRESH_BINARY_INV)
    # original_resized = cv2.resize(thresh, (0,0), fx=.2, fy=.2)
    cv2.imshow('Threshold_1',thresh_1)
    cv2.waitKey(0)

    # dilation
    kernel = np.ones((10, 1), np.uint8)
    joined = cv2.dilate(thresh_1, kernel, iterations=1)
    cv2.imshow('joined', joined)
    cv2.waitKey(0)

    joined=cv2.cvtColor(joined, cv2.COLOR_BGR2GRAY);

    #find contours
    im,ctrs_1, hier = cv2.findContours(joined, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    #sort contours
    sorted_ctrs_1 = sorted(ctrs_1, key=lambda ctr: cv2.boundingRect(ctr)[0])

    for j, ctr_1 in enumerate(sorted_ctrs_1):

        # Get bounding box
        x_1, y_1, w_1, h_1 = cv2.boundingRect(ctr_1)

        # Getting ROI
        roi_1 = thresh_1[y_1:y_1+h_1, x_1:x_1+w_1]

        # #   show ROI
        cv2.imshow('Line no: ' + str(i) + "Column no : " +str(j),roi_1)
        cv2.waitKey(0)


# original_resized = cv2.resize(image, (0,0), fx=.2, fy=.2)
# cv2.imshow('marked areas',original_resized)
cv2.imshow('marked areas',image)
cv2.waitKey(0)
Iterating over string/strlen with umlauted characters

Iterating over string/strlen with umlauted characters


By : user3818003
Date : March 29 2020, 07:55 AM
may help you . Normally, you'd store the string in a wchar_t and use something like ansi_strlen to get the length of it - that would give you the number of printed characters as opposed to the number of bytes you stored.
You really shouldn't be implementing UTF or Unicode or whatever multibyte character handling yourself - there are libraries for that sort of thing.
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