Uploaded by k122018 Muhammad Naveed Sharif

Contactless Fingerprint Detection -4

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ISSM.ai
Training Machines to Learn
Contactless Biometric SDK
ISSM.ai
Features of Contactless Biometric
Video Frame Detection
Liveness Detection
Fraud Detection
Fingerprint Extraction
Multiple Finger Extraction
NADRA Approval
SDK Built
Android/ IOS
How Our System Works
ISSM.ai
Our approach is different from existing solutions in the market how utilise image based processing which has
multiple limitations :
Image based processing relies on multiple finger prints for authentication
Multiple finger prints end up taking longer time due to camera hardware limitations
Video Recording
with Flash OFF
Turn Flash ON
during recording
Liveness
detection
Convert
Fingerprint to NADRA
Format
Extract
Fingerprint
Get optimal
frame from stream
SDK Provision
ISSM.ai
SDK is available for both Android and iOS. It
comes with the following features:
Hand detection
Liveness detection
Focus adjustment
Optimal fingerprint frame extraction
The SDK provides the functionality to pick any
hand finger to be used for fingerprint
extraction.
ISSM.ai
Customisation Capability
Cutting-edge machine learning
algorithms are deployed for the
detection of hand key points. This makes
the fingerprint solution adaptable to
changes in the verification process
required by the customer.
This enables our customers to create
their own respective cases for
fingerprint extraction.
NADRA Approval
The contactless biometric solution follows all
NADRA guidelines and converts the extracted
fingerprint into NADRA acceptable format.
The extracted fingerprint is converted into WSQ
format which is approved by the NADRA API. The
fingerprint information along with the user
information is sent to NADRA for verification. In
case of unsuccessful verification by the NADRA API,
the user is prompted to provide another finger for
verification.
ISSM Labelling Solutions
Csquare Pvt Ltd
hammad@issm.ai
ashar@issm.ai
abdulwahab@issm.ai
Document made by :
Abu Abdullah Ashar - Chief Product Officer
Abdul Wahab Amin - Lead C-Object
Aarish Naeem - Jr. Data Scientist
The End
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