ID & Document Scan Verification
Melissa Identity Solution
Reduce Risk, Ensure Compliance and Keep Customers Happy
The ID & Doc Scan Verification service, part of Melissa’s Identity Solutions package, helps organizations address one of their biggest issues – Identity Fraud – by establishing a seamless end-to-end process to establish and safely track customer data.
- Proof of life Scans face and checks for eye movement to establish if the person behind the ID is real
- Document Verification Captures ID and document data using Machine Readable Zone (MRZ) and Optical Character Recognition (OCR) document scanning to extract crucial information from passports, utility bills, driver's licenses, etc
- Bio-metrics Uses smart facial recognition and facial comparison algorithms to recognise a match between a selfie and the ID image
Implement Safe and Secure Customer On-Boarding and Know Your Customer (KYC) Rules
ID and Document Scan Verification allows business to successfully enable robust security giving a smarter and more secure alternative to Knowledge Based Authentication (KBA). Detect fraud seamlessly and obtain a complete user verification in a simple 1-2-3 process.
- Smooth Customer Journey: Verify the identity of customers with ease using a simple 3 step process.
- High Accuracy in Data Extraction: A reliable solution that captures & extracts crucial information needed for KYC compliance.
- Remote On-boarding: Users can scan and upload from any remote location including the comfort of their own home.
- Full Audit Trail: Generates a customer due diligence report which is stored securely.
- Multi System Workflow: Integrates with all android, iOS and PC systems as well as web form, checkout, and mobile applications.
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How it Works
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1. Document Verification
User submits an ID or document and this feature will extract key information to check proof of similarity.
- Automatically recognises the type of ID document being shown
- Process key data to populate client information into relevant systems like CRM platforms
- Our Optical Character Recognition (OCR) system will overcome any issues reading data from old or damaged ID documents shown, ensuring 100% of the required data is extracted 100% of the time
2. Biometrics Verification
This algorithm will recognise a matchup between the users selfie & their ID image.
- Identifies a set of 60+ facial features
- Algorithms distinguish changes between the selfie and the ID image including: facial hair, makeup, age difference, hairstyle, skin imperfections, and positions in head pose
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3. Liveness Verification
User holds face up to camera and this feature will perform a Proof of Life check.
- Distinguishes eye movement
- Checks the person behind the device is live and not a static image
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