Matching configurations
Learn how matching rules ensure accuracy.
This section indicates the decision-making rules (matching configurations) for our Non-Doc Address Verification solution that are applicable to both 1x1 and 2x2 Matching methods. These rules have been pre-set to deliver the highest user approval rates while maintaining strong levels of data verification security:
- The 1x1 Matching method under the Non-Doc Address Verification solution requires matching user’s personal and residency data against a single source to receive a Full Match on their address. The total number of available sources for data screening is dependent on the user’s country of onboarding.
- The 2x2 Matching method under the Non-Doc Address Verification solution requires matching user’s personal and residency data against two sources to receive a Full Match on their address. The total number of available sources for data screening is dependent on the user’s country of onboarding.
The matching rules are standard for all Sumsub clients and not available for individual configuration. Nonetheless, Sumsub is continuously improving the solution to maximize population coverage and increase the match rates regarding data validation.
Non-Doc Address Verification
The Non-Doc Address Verification 1x1 Matching logic requires matching user’s personal and address data against one source to receive a Full Match on their identity.
Verification Result |
Name Category |
Address Category |
Date of Birth Category |
ID Category |
|
Full Match
|
Full Match
|
Full Match
|
Any Value(Full Match/No Match)
|
Any Value(Full Match/No Match)
|
|
Partial Match
|
Partial Match
|
Full Match
|
Any Value(Full Match/No Match)
|
Any Value(Full Match/No Match)
|
|
Full Match
|
Partial Match
|
Any Value(Full Match/No Match)
|
Any Value(Full Match/No Match)
|
|
|
Partial Match
|
Partial Match
|
Any Value(Full Match/No Match)
|
Any Value(Full Match/No Match)
|
|
|
No Match
|
All other combinations |
|||
The applicable country sources are screened until a Full Match on the identity is made. If a Full Match is not found, the system then repeatedly screens those sources for a Partial Match on the user’s identity.
The Non-Doc Address Verification 2x2 Matching logic requires matching user’s personal and address data against two sources to receive a Full Match on their identity.
Verification Result |
1st Data Source |
2nd Data Source |
|
Full Match
|
Name
Full Match
+ Address
Full Match
|
Name
Full Match
+ Address
Full Match
|
|
Name
Full Match
+ Address
Full Match
|
Name
Full Match
+ Address
Full Match
|
|
|
Name
Full Match
+ Address
Full Match
|
Name
Full Match
+ Address
Partial Match
|
|
|
Name
Full Match
+ Address
Full Match
|
Name
Partial Match
+ Address
Partial Match
|
|
|
Name
Full Match
+ Address
Full Match
|
National ID
Full Match
+ Address
Full Match
|
|
|
Name
Full Match
+ Address
Full Match
|
National ID
Full Match
+ Address
Partial Match
|
|
|
Name
Full Match
+ Address
Full Match
|
Date of Birth
Full Match
+ Address
Full Match
|
|
|
Name
Full Match
+ Address
Full Match
|
Date of Birth
Full Match
+ Address
Partial Match
|
|
|
Partial Match
|
Name
Full Match
+ Address
Full Match
|
|
|
Name
Full Match
+ Address
Partial Match
|
||
|
Name
Partial Match
+ Address
Full Match
|
||
|
Name
Partial Match
+ Address
Partial Match
|
||
|
Date of Birth
Full Match
+ Address
Full Match
|
||
|
Date of Birth
Full Match
+ Address
Partial Match
|
||
|
National ID
Full Match
+ Address
Full Match
|
||
|
National ID
Full Match
+ Address
Partial Match
|
||
|
No Match
|
All other combinations |
|
The applicable country sources are screened until a Full Match on the identity is made. If a Full Match is not found, the system then repeatedly screens those sources for a Partial Match on the user’s identity.
Non-Doc Address Verification in the UK
The Non-Doc Address Verification UK 1x1 Matching logic requires matching user’s personal and address data against one source to receive a Full Match on their identity.
Verification Result |
Name Category |
Address Category |
Date of Birth Category |
|
Full Match
|
Full Match
|
Full Match
|
Any Value(Full Match/No Match)
|
|
No Match
|
All other combinations |
||
The applicable country sources are screened until a Full Match on the identity is made. A Partial Match result is not available.
The Non-Doc Address Verification UK 2x2 Matching logic requires matching user’s personal and address data against two sources to receive a Full Match on their identity.
Verification Result |
1st Data Source |
2nd Data Source |
|
Full Match
|
Name
Full Match
+ Address
Full Match
|
Name
Full Match
+ Address
Full Match
|
|
Name
Full Match
+ Address
Full Match
|
Date of Birth
Full Match
+ Address
Full Match
|
|
|
Partial Match
|
Name
Full Match
+ Address
Full Match
|
|
|
No Match
|
All other combinations |
|
The applicable country sources are screened until a Full Match on the identity is made. If a Full Match is not found, the system then repeatedly screens those sources for a Partial Match on the user’s identity.
Data Category and Data Attribute Matching
The following are case scenarios which result in a Full Match regarding Name, Date of Birth, ID, and Address data categories.
A Partial Match on the Name and Address data categories is considered such when a Full Match is discovered on either one of the two data attributes from the case scenarios below. A Partial Match on the Name category based solely on the First Initial data attribute is not possible. A Partial Match on the ID and Date of Birth categories is not possible.
Name category matching scenarios
A Full Match on the Name category is considered such when any of the following data attribute matching scenarios is met:
- First Name Full Match + Last Name Full Match
- First Initial Full Match + Last Name Full Match
- First Name Full Match + Maternal Name Full Match
Address category matching scenarios
A Full Match on the Address category is considered such when any of the following data attribute matching scenarios is met:
- Building Number Full Match + City Full Match
- Street Full Match + City Full Match
- State Full Match + City Full Match
- Building Number Full Match + Postal Code Full Match
- Street Full Match + Postal Code Full Match
- State Full Match + Postal Code Full Match
Note that certain Address attributes can be specific to regions/countries.
Date of birth category matching scenarios
A Full Match on the Date of Birth category is considered such when the following data attribute matching scenario is met:
- Year of Birth Full Match + Month of Birth Full Match + Day of Birth Full Match
Note that certain Date of Birth attribute matching exceptions may be applicable to regions/countries.
ID category matching scenarios
A Full Match on the ID category is considered such when the following data attribute matching scenario is met:
- Identification Number Full Match
A Partial data category Match is considered such when a Match is discovered on either one of the two data attributes from the case scenarios above. A Partial ID category Match is not possible. A Partial Match in the Name category based solely on the First Initial data attribute is not accepted.
Fuzzy Matching for Data Attributes
These are the criteria for fuzzy matching on different data attributes against country sources:
-
Name Data Attributes
For a Name category data attribute to generate a Full Match, it should be within 70% of the Levenshtein character similarity in comparison to the records in the data sources. E.g., if the Name attribute input is ‘Christophel’ and the actual name is ‘Christopher’, Global Database Verification returns a Full Match based on the fuzzy matching logic. This system is applicable to the First Name and Last Name data attributes.
-
Address Data Attributes
For Address category data attributes like Street, City, State, and Postal Code, the acceptable Levenshtein character similarity percentage for a Full Match is also 70% in comparison to the records in the data sources. E.g., a Street and House Number attribute input of ‘200 Kingslee Court’ would Match against a record in the data source for ‘200 Kingsley Court’.
-
Date of Birth Data Attributes
Sumsub does not employ any kind of fuzzy matching on data attributes within the ID data category (Year of Birth, Month of Birth, Day of Birth).
-
ID Data Attributes
Sumsub does not employ any kind of fuzzy matching on data attributes within the ID data category (Identification Number).
Examples
Below are examples of data attribute inputs that would satisfy the criteria of Global Database Verification fuzzy matching logic and generate a Full Match.
Data Attribute |
Input |
Data Source Record |
Result |
|---|---|---|---|
|
first_name |
Jeanette |
Jeanette |
Full Match
|
|
first_name |
Jeanotte |
Jeanette |
Full Match
|
|
first_name |
Gene |
Jeanette |
No Match
|
|
last_name |
Richardson |
Richardson |
Full Match
|
|
last_name |
Richardsen |
Richardson |
Full Match
|
|
last_name |
Richarliset |
Richardson |
No Match
|
|
street |
Brigadoon Drive |
Brigadoon Drive |
Full Match
|
|
street |
Brigadier Street |
Brigadoon Drive |
No Match
|
|
city |
Redwood City |
Brigadoon Drive |
Full Match
|
|
city |
Renwood City |
Brigadoon Drive |
Full Match
|
|
city |
Redweed County |
Brigadoon Drive |
No Match
|
|
state |
Paris |
Paris |
Full Match
|
|
state |
Parip |
Paris |
Full Match
|
|
state |
Perip |
Paris |
No Match
|
Updated 8 days ago