Fuzzy Matching Techniques

Fuzzy Matching Techniques

Fuzzy matching is a technique for identifying text elements that partially match a given sentence or section of text. The use of fuzzy matching techniques is common in computer science, identity verification, and a variety of other fields, enabling better business outcomes while allowing natural human behavior to express itself online.

Socure uses a proprietary set of fuzzy matching techniques consisting of dynamic edit-based, token-based, sequence-based, and phonetic-based algorithms. By default, these algorithms are used to match on the following fields:

• First name
• Last name
• Street name
• City

For all other fields, we perform exact matching. This includes:

• House number
• Unit number
• State
• ZIP code
• Phone number
• Email
• Date of birth
• Social Security number
• Individual Tax Identification Number

📘
Note:
RiskOS™ allows you to configure fuzzy matching for certain fields for KYC, Watchlist Screening with Monitoring, and Predictive Document Verification. See the following for more information:

• Socure Verify (KYC) Settings
• Watchlist Settings
• Predictive Document Verification Settings in the RiskOS™ Dashboard.