Objective: The project aims to develop a secure and efficient portal for signature verification. This portal is designed to authenticate handwritten signatures by comparing them against stored reference signatures, enhancing the security of document verification processes in various sectors such as banking, legal, and administrative services.
Methodology: The portal leverages advanced image processing and machine learning techniques to analyze and verify signatures. The process involves collecting a dataset of genuine and forged signatures, preprocessing the images to extract relevant features, and training a model using algorithms such as Convolutional Neural Networks (CNNs) for high accuracy. The portal includes a user-friendly interface where users can upload signatures for verification, and the system provides real-time feedback on the authenticity of the submitted signature.
@SyedImtiyaz-1, assign me this issue under GSSOC'24
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Feature Description
Objective: The project aims to develop a secure and efficient portal for signature verification. This portal is designed to authenticate handwritten signatures by comparing them against stored reference signatures, enhancing the security of document verification processes in various sectors such as banking, legal, and administrative services.
Methodology: The portal leverages advanced image processing and machine learning techniques to analyze and verify signatures. The process involves collecting a dataset of genuine and forged signatures, preprocessing the images to extract relevant features, and training a model using algorithms such as Convolutional Neural Networks (CNNs) for high accuracy. The portal includes a user-friendly interface where users can upload signatures for verification, and the system provides real-time feedback on the authenticity of the submitted signature.
@SyedImtiyaz-1, assign me this issue under GSSOC'24
Use Case
NA
Benefits
No response
Add ScreenShots
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Priority
High
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