main.py

import tkinter as tk
from tkinter import ttk, filedialog, Label
import cv2
import numpy as np
import os
import pandas as pd
from PIL import ImageTk, Image
excel_file = "data.xlsx"
pp_path = "images"
df = pd.read_excel(excel_file)

# Tkinter penceresi oluşturma
window = tk.Tk()
window.title("İmza Tanıma Uygulaması")
file_path = ""
dataset_path = "sign_data/train"
# Dosya seçme düğmesi oluşturma
def open_file():
    global file_path
    file_path = filedialog.askopenfilename()


file_button = ttk.Button(window, text="Dosya Seç", command=open_file)
file_button.grid(column=0, row=0, padx=10, pady=10, sticky='wens')

# Korelasyon değeri giriş kutusu oluşturma
correlation_label = ttk.Label(window, text="Correlation (0-0.9) :")
correlation_label.grid(column=1, row=0, padx=10, pady=10, sticky='wens')

correlation_entry = ttk.Entry(window)
correlation_entry.grid(column=2, row=0, padx=5, pady=5, sticky='wens')
correlation_entry.insert(tk.END, 0.7)
correlation_entry.config(width=5, font=("Arial", 7))

def get_person_info(id):
    person = df.loc[df['ID'] == id]
    if len(person) == 0:
        return (f"ID bulunamadı! {id}")
    else:
        name = person['İsim'].values[0]
        surname = person['Soyisim'].values[0]
        birth_date = str(person['DT'].values[0]) + "/" + str(person['DT'].values[0])
        birth_place = person['DY'].values[0]
        return name + "\n"+ surname +"\n"+ birth_date[:10] +"\n"+ birth_place

def find_signature():
    result_label.config(text="")
        # Load the image and convert it to grayscale
    if(file_path == ""):
        result_label.config(text="Lütfen bir imza seçin!")
        return None
    image = cv2.imread(file_path)
    image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Set the threshold for template matching
    threshold = float(correlation_entry.get())

    # Iterate over the folders in the dataset
    for folder in os.listdir(dataset_path):
        if not folder.endswith("_forg"):
            # Iterate over the signature images in the folder
            for signature_image in os.listdir(os.path.join(dataset_path, folder)):
                # Load the signature image and convert it to grayscale
                signature = cv2.imread(os.path.join(dataset_path, folder, signature_image))
                signature_gray = cv2.cvtColor(signature, cv2.COLOR_BGR2GRAY)

                # Resize the signature image if it is larger than the source image
                if signature_gray.shape[0] > image_gray.shape[0] or signature_gray.shape[1] > image_gray.shape[1]:
                    signature_gray = cv2.resize(signature_gray, (image_gray.shape[1], image_gray.shape[0]))

                # Apply template matching
                result = cv2.matchTemplate(image_gray, signature_gray, cv2.TM_CCOEFF_NORMED)

                loc = np.where(result >= threshold)

                # Check if a match was found
                if len(loc[0]) > 0:
                    result_label.config(text=get_person_info(int(folder[1:])))
                    # Resmi etiket olarak ekleyin
                    image = Image.open(pp_path+f"/{folder}.png")
                    image = image.resize((256,256))
                    photo = ImageTk.PhotoImage(image)
                    label = Label(image=photo)
                    label.image = photo     # photo nesnesini label nesnesinin bir özelliği olarak saklayın
                    label.grid(column=2, row=3, padx=10, pady=10, sticky='e')
                    return folder

                
    result_label.config(text="Bu imza, verisetindeki hiçbir imza ile eşleşmedi!")
    return None

find_button = ttk.Button(window, text="İmzayı Bul", command=find_signature)
find_button.grid(column=0, row=1, padx=10, pady=10, sticky='wens')

result_label = ttk.Label(window)
result_label.grid(column=0, row=3, padx=10, pady=10, sticky='wens')

window.geometry("500x375")

window.mainloop()