Hi, I'm using pytesseract to recognize the characters in the jpeg file for a scanned file. But for manually entered text, pytesseract is very bad. How can I use your code for my image file? @samkit-jain

from tkinter import *

tk = Tk()
canvas = canvas(tk, width=500, height= 400)
tk.title("drawing")
canvas.pack()

canvas.mainloop()

please find the issue why it shows the name error :
canvas is not defined.

References #6

I'm running this program on windows, and I'm encountering this issue when I run the dataset.py file.

Setting up EMNIST dataset
Downloading file from https://www.itl.nist.gov/iaui/vip/cs_links/EMNIST/gzip.zip and saving to D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip.zip
Extracting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip.zip
Extracting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip\emnist-balanced-train-images-idx3-ubyte.gz
Extracting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip\emnist-balanced-train-labels-idx1-ubyte.gz
Extracting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip\emnist-balanced-test-images-idx3-ubyte.gz
Extracting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip\emnist-balanced-test-labels-idx1-ubyte.gz
Converting D:\Coding\Python\Handwriting-Recognition-master\Python\download\gzip\emnist-balanced-train-images-idx3-ubyte to image files
Traceback (most recent call last):
  File "D:/Coding/Python/Handwriting-Recognition-master/Python/dataset.py", line 221, in <module>
    creator.create()
  File "D:/Coding/Python/Handwriting-Recognition-master/Python/dataset.py", line 95, in create
    label_mapping=label_mapping
  File "D:/Coding/Python/Handwriting-Recognition-master/Python/dataset.py", line 177, in idx_to_image
    image_dest = tempfile.mkstemp(dir=label_folder, suffix='.png')[1]
  File "C:\Users\hsjee\AppData\Local\Programs\Python\Python37\lib\tempfile.py", line 340, in mkstemp
    return _mkstemp_inner(dir, prefix, suffix, flags, output_type)
  File "C:\Users\hsjee\AppData\Local\Programs\Python\Python37\lib\tempfile.py", line 258, in _mkstemp_inner
    fd = _os.open(file, flags, 0o600)
OSError: [Errno 24] Too many open files: 'D:\\Coding\\Python\\Handwriting-Recognition-master\\Python\\data\\n\\tmp9gd3zyow.png'

Process finished with exit code 1

FileNotFoundError: [Errno 2] No such file or directory: 'classifier_knn165.pickle'

Enter choice - 2
Traceback (most recent call last):

File "", line 164, in
recognise_letter()

File "", line 136, in recognise_letter
plt.title('letter is ' + clf.predict([gray_letter])[0])

File "C:\Users\DELL\Anaconda3\lib\site-packages\sklearn\neighbors\classification.py", line 145, in predict
neigh_dist, neigh_ind = self.kneighbors(X)

File "C:\Users\DELL\Anaconda3\lib\site-packages\sklearn\neighbors\base.py", line 347, in kneighbors
(train_size, n_neighbors)

ValueError: Expected n_neighbors <= n_samples, but n_samples = 1, n_neighbors = 165

Enter choice - 1
1
<1> Calculate accuracy
<2> Recognize letter
<3> Train again
Exit

Enter choice - 2
Traceback (most recent call last):

File "", line 164, in
recognise_letter()

File "", line 115, in recognise_letter
letter_loc = get_image_src()

File "E:\Shezartech\OCR\English\Handwriting-Recognition-master\Python\painte.py", line 71, in get_image_src
init_set()

File "E:\Shezartech\OCR\English\Handwriting-Recognition-master\Python\painte.py", line 37, in init_set
w = Canvas(master, width=canvas_width, height=canvas_height + 20)

NameError: name 'Canvas' is not defined

I am primarily interested in the exact data you used to train the letters recognition. I am aware you used data from https://www.nist.gov/srd/nist-special-database-19 but can you point me

1. to the exact data base used? There are many - by class, by merge etc and
2. the file structure you used to input data data for training?

Hello Sir,
in letter_recognition.py it is predicting letter "l" for every letter drawn. Help me with this.
For making the fs2 directory, I have used the images in NIST dataset (using images from train folder given for each character in NIST dataset) from the link you have provided earlier in another issue.

helllo , please share fs2 dir