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Signature Forgery Detection using Deep Learning
In this age of digitalization everything is online , paying bills , placing orders ,filling documents , songs ,etc . As more and more activities comes to online platforms a really important problem arises how to check the authority of the person on the Net . Of course Passwords can’t be used every time and especially in cases where the user need to provide a signature (digitally).We will be overcoming this problem in this story .
- Problem Statement
- Library and Concepts
- Kernel link
We will be making a model to predict whether a signature is Forged or Not .
LIBRARY AND CONCEPTS
Convolutional neural network
Matplotlib / Seaborn
We have Image of size 268 x 650 ,here the color of the image is not of much significance as the ink of pen does not contribute to our problem in any way .We will be using a Simple Convolutional Network .
Our CNN Model starts with 32 filters and 3×3 Kernel Size Followed by a MaxPooling Layer of 2×2 .After some of these layers we increase the filters to 64 to capture features in a better way .
We are achieving about 90% Accuracy .
Credit: Devansh Chowdhury
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