Background and Objectives
In the Republic of Uzbekistan, the applicant when getting a passport must undergo verification, during which the document issue may be refused because of unreliable data provided by the applicant. Before 2011, such verification was carried out using systems of automated identification by facial images, but the final decision was made by a system operator. The existing system did not provide the desired level of automation, which led to an increase in decision-making time to several days and to a decrease in the efficiency.
- To use the fingerprint database in the identification processes
- To implement two-factor verification, and to reduce the number of candidates for facial images by means of preliminary comparisons of fingerprints
- To create a multibiometric platform for identification
- To ensure the operability of the national system with a database capacity of more than 25 million records
- To enable further integration of the system with the forensic AFIS
All the software and hardware providing the planned identification processes have been delivered, installed and commissioned.
As a result, a multibiometric centralized national identification system was created called ASIL-M (on the platform of AFIS and POLYFACE).
- 98 specialists have been trained to work with AFIS
- 28 workstations have been delivered
ASIL-M has been successfully integrated with the passport system for issuing/reissuing biometric documents.
From 2011 to 2021, the database of AFIS and ASIL-M was increased from 5 to 25 million tenprint cards. The uninterrupted operation of the complex with a daily workload of over 20,000 multibiometric checks is ensured.
Results and Effect
Implementation of ASIL-M has enabled:
- Reduction of time spent on data verification when issuing passports – from a few days to 10 minutes after submitting an application
- Increase in the automation and reliability of identification (face image + fingerprint)
- Safety for citizens by increasing the degree of protection of ID documents from possible discrepancies
- Standardization of information about citizens, stored in the ministries and institutions of the country
- Integration of ASIL-M with AFIS-MVD and information repositories of other institutions
For example, more than 500 cases of fraudulent impersonation were disclosed at the national college admission exams.