Digit recognition Using Python

Python Code:

from tkinter import*
import tkinter
root=Tk()
root.geometry("1600x800+0+0")
root.title("DIGIT RECOGNIZATION")
w = Label(root,text="DIGIT RECOGNIZATION",bg="blue",fg="white",height=2,width=1000,font="Arial 20 bold").pack(side=TOP)
canvas = Canvas(root, width = 1350, height = 600)      
canvas.pack()      
img = PhotoImage(file="image/test.png")      
canvas.create_image(5,5, anchor=NW, image=img)  
# Doctor Menu Start

def adminsignup():
 filewin = Toplevel(root)
 filewin.title("DIGIT RECOGNIZATION")
 w = Label(filewin,text="DIGIT RECOGNIZATION",bg="blue",fg="white",font="Arial 10 bold").pack(side=TOP)
 list1 = ["ID                  :", "PASSWORD  :"]
 L1=Label(filewin,text=list1[0],font="Arial 12 bold")
 L1.pack()
 E1 = Entry(filewin, bd =5)
 E1.pack()
 L2=Label(filewin,text=list1[1],font="Arial 12 bold")
 L2.pack()
 E2 = Entry(filewin, bd =5)
 E2.pack()

 
 def callback():
  E3=E1.get()
  E4=E2.get()
  E5=E3
  E5="saran"
  E6=E4
  E6="bala"
  if E3==E5 and E4==E6:
   filewin = Toplevel(root)
   filewin.title("DIGIT RECOGNIZATION")
   s= Label(filewin,text="DIGIT RECOGNIZATION",bg="blue",fg="white",font="Arial 10 bold").pack(side=TOP)
   L6=Label(filewin,text="successfully Login")
   L6.pack()
   b1= Button(filewin,text="Handwritten Digit recognition ", width=50,bd=10,command=Appoint)
   b1.pack()
  else:
   filewin = Toplevel(root)
   filewin.title("DIGIT RECOGNIZATION")
   s= Label(filewin,text="DIGIT RECOGNIZATION",bg="blue",fg="white",font="Arial 10 bold").pack(side=TOP)
   L7=Label(filewin,text="Login Unsuccessful")
   L7.pack()  
 
 b = Button(filewin,text="get", width=10,command=callback)
 b.pack()

 def Appoint():
  from sklearn import datasets
  from sklearn.svm import SVC
  from scipy import misc
  import tkinter
  import cv2
  import glob
  filewin = Toplevel(root)
  digits = datasets.load_digits()
  features = digits.data 
  labels = digits.target
  clf = SVC(gamma = 0.001)
  clf.fit(features, labels)
  path = "img\*.*"
  for file in glob.glob(path):
   print(file)
   a= cv2.imread(file)
   print(a)
   c = cv2.cvtColor(a, cv2.COLOR_BGR2RGB)
   cv2.imshow('Color image', c)
  img = misc.imread(file)
  img = misc.imresize(img, (8,8))
  img = img.astype(digits.images.dtype)
  img = misc.bytescale(img, high=16, low=0)
  x_test = []

  for eachRow in img:
   for eachPixel in eachRow:
    x_test.append(sum(eachPixel)/3.0)


  print(clf.predict([x_test]))
  
  L7=Label(filewin,text=clf.predict([x_test]))
  L7.pack()
 
  


  
  
menubar = Menu(root)
Adminmenu = Menu(menubar, tearoff=0)
Adminmenu.add_command(label="SignUp", command=adminsignup)
Adminmenu.add_separator()
Adminmenu.add_command(label="Exit", command=root.quit)
menubar.add_cascade(label="ADMIN", menu=Adminmenu)
root.config(menu=menubar)
# Doctor Menu End


root.mainloop()

Output:

Code & Concept Copyrights@Saravanakumar from psktechnology