FAQs - Scanner

Q1: What is the Scanner module?

A1: The Scanner module is an advanced API suite that enhances data verification and fraud detection through machine learning and computer vision, ensuring robust compliance and security for businesses.

Q2: What is OCR and how does it work in the Scanner module?

A2: OCR (Optical Character Recognition) is a technology that extracts text from images or scanned documents. In the Scanner module, the OCR API allows users to upload ID proofs in PDF, JPEG, or PNG formats and extracts the textual data for verification purposes.

Q3: How does the Aadhaar Masking feature function?

A3: The Aadhaar Masking feature redacts the first eight digits of the Aadhaar number in a document, displaying only the last four digits. This ensures compliance with regulatory standards and protects user privacy.

Q4: What is Document Classification in the Scanner module?

A4: Document Classification involves identifying and categorizing documents based on their type (e.g., PAN card, Aadhaar card, passport). This aids in automating document handling and verification processes.

Q5: How does the Forged Document Check work?

A5: The Forged Document Check assesses the authenticity of a document by analyzing various security features and detecting any signs of tampering or forgery, ensuring the document's legitimacy.

Q6: What is the purpose of the Document Quality Check?

A6: The Document Quality Check evaluates the clarity and readability of a document, ensuring that it meets the required standards for processing and verification.

Q7: How does Name Matching function, and what is phonetic matching?

A7: Name Matching compares two names to determine their similarity, accounting for variations in spelling or formatting. Phonetic matching further enhances this by identifying names that sound similar but may be spelled differently, improving matching accuracy.

Q8: What is Text Matching in the Scanner module?

A8: Text Matching involves comparing two text strings to assess their similarity, which is useful in verifying information consistency across different documents or data sources.

Q9: How does Geolocation Matching work?

A9: Geolocation Matching compares geographical data to verify if two locations are the same or within a permissible range, aiding in address verification and fraud detection.

Q10: What is the Passive Face Liveness Test (Image Input)?

A10: This test determines if a captured image is from a live person rather than a photograph or screenshot, helping to prevent spoofing attempts during identity verification.

Q11: How does the Passive Face Liveness Test (Video Input) differ from the image input test?

A11: The video input test analyzes a short video to detect subtle movements and expressions, providing a more robust liveness detection compared to a single image analysis.

Q12: What is the Face Match Test?

A12: The Face Match Test compares two facial images to determine if they belong to the same individual, facilitating identity verification by matching a user's live image with their ID document photo.

Q13: What does the Mule Detector API do?

A13: The Mule Detector API identifies potential mule accounts—accounts used for illicit activities like money laundering—by analyzing patterns and behaviors indicative of such activities, aiding in fraud prevention.

Q14: How can I integrate the Scanner module into my existing systems?

A14: Integration involves using Decentro's APIs, which are designed to be plug-and-play with comprehensive documentation. You can refer to the API basics and endpoints for detailed guidance.