Aadhar UID Mask Detecting Tool Using CNN With Verhoeff Algorithm

Aadhaar UID Mask Detecting Tool is a computer vision system that uses convolutional neural networks (CNNs) and the Verhoeff algorithm to detect and extract masked Aadhaar UID numbers in digital images. The tool is designed to address the growing concern over the protection of personal information an...

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Bibliographic Details
Main Authors: A, Syed Musthafa, B, Monisha, P, Roshni, N, Sowmiyha, K R, Sri Dharshini
Format: Conference Proceeding
Language:English
Subjects:
Biometric
BPL
CIDR
CNN
Data protection
Digital images
Information security
Machine learning
Machine learning algorithms
OTP
Pattern recognition
Privacy
PyTesseract
SRGAN
UID
UIDAI
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Description
Summary:Aadhaar UID Mask Detecting Tool is a computer vision system that uses convolutional neural networks (CNNs) and the Verhoeff algorithm to detect and extract masked Aadhaar UID numbers in digital images. The tool is designed to address the growing concern over the protection of personal information and privacy in the era of digital communication. The CNNs are trained to recognize patterns in the Aadhaar UID numbers and the Verhoeff algorithm is used to validate the extracted numbers. This tool can be used in various applications such as document scanning and verification, data protection and privacy, and information security. The use of a combination of machine learning and validation algorithms makes this tool robust and reliable for detecting masked Aadhaar UID numbers in images.
ISSN:2575-7288
DOI:10.1109/ICACCS57279.2023.10113112