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THE SCIENCE OF SIGNATURE DETECTION: UNDERSTANDING THE TECHNIQUES (PART-III)

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        Hello Readers, now I am continuing with the last part of this blog. In the previous blog, we discussed all the executed techniques and theory related to the fake signature detection. So now in this part, we will discuss the techniques which I have implemented and the result that we get from the signature detection.           So here I have used CNN,  Siamese Network and VGG6 Network to made this model.  Here CNN (Convolutional Neural Network) a deep learning algorithm is used for identifying whether the signature is real or forged. The pattern of convolutional neural networks is much similar to the pattern of neurons in the human brain. It gives different weights and bias values to different parts the image and helps in identifying one image from another. Here CNN model is trained using various images of the same person and then is used to test it on other images and find out if they are forged or real Figure ...
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THE SCIENCE OF SIGNATURE DETECTION: UNDERSTANDING THE TECHNIQUES (PART-II)

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          Hello Readers, Now I am continuing with the next part of this blog. In the previous blog, we discussed what a fake signature is and how it affects our daily lives. So now in this part, we will discuss the techniques that we can use for signature detection.           There are various techniques that can be used for fake signature detection using machine learning, including: Image processing techniques: Image processing techniques such as edge detection, corner detection, and feature extraction can be used to extract features from the signature image, which can then be used as input to machine learning algorithms. Supervised learning: Supervised learning techniques such as Support Vector Machines (SVM), Random Forest, Decision Trees, and Neural Networks can be used to train models on labeled signature data sets, to differentiate between genuine and fake signatures. Unsupervised learning: Unsupervised learning techniqu...
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Location: Pune, Maharashtra, India
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THE SCIENCE OF SIGNATURE DETECTION: UNDERSTANDING THE TECHNIQUES (PART-I)

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          Signatures were being used in the world for nearly a thousand years. It is written in many distinct styles; some might be letters from various languages. It is regarded as confirmation or consent of a person’s agreement with another person. This could be a sales agreement or a contract agreement or any aspect of a person’s identity that may be expressed in a few short letters. The use of signatures has increased along with trade and market expansion. After the industry’s digitalization, many conventional practices, including signatures, were turned into digital representations. This has assisted in raising security standards, but as cybercriminals get more sophisticated daily, crime has also increased. In addition to determining the authenticity of this digitally stored information, it has become increasingly difficult for enterprises to protect the digital information of their customers. Thus verifying the legality of digital signatures has becom...
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