DocFace: ID Document to Selfie Matching
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Product Description
Aim:
The
main aim of this project is to solve the problem of counterfeiting certificates
we are proposing an digital certificate system based on block chain technology
and to verify the traveler’s identity using live camera, which allows faster
convergence and more generalizable representations.
Synopsis:
Numerous activities in our daily life
require us to verify who we are by showing our ID documents containing face
images, such as passports and driver licenses, to human operators. However,
this process is slow, labor intensive and unreliable. As such, an automated
system for matching ID document photos to live face images (selfies) in real
time and with high accuracy is required. In this paper, we propose DocFace+ to
meet this objective. We first show that gradient-based optimization methods
converge slowly (due to the underfitting of classifier weights) when many
classes have very few samples, a characteristic of existing ID-selfie datasets.
To overcome this shortcoming, to update the classifier weights, which allows
faster convergence and more generalizable representations. Next, a pair of
sibling networks with partially shared parameters are trained to learn a
unified face representation with domain-specific parameters. Cross-validation
on an ID selfie dataset shows that while a publicly available general face matcher.
Proposed
System:
We are proposing a certificate system
based on blockchain to overcome the problem. Data are stored in different
nodes, and anyone who wishes to modify a particular internal datum must request
that other nodes modify it simultaneously. Thus, the system is highly reliable.
We developed a decentralized application and designed a certificate system
based on Ethereum blockchain. This technology was selected because it is
incorruptible, encrypted, and trackable and permits data synchronization. By
integrating the features of blockchain, the system improves the efficiency operations
at each stage. The system saves on paper, cuts management costs, prevents
document forgery, and provides accurate and reliable information on digital
certificates and compare user live face with verified document face.
Algorithm Used:
·
KNN
·
RSA
·
SHA-256
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The Delivery time for Hardware
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The Delivery time for Hardware Mini projects is 7-8 working days.