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Reliably reading the digital information from a driver's license is not so easy. This unpleasant discovery is made many times a year by programmers, product developers and organizations seeking to verify identity using state issued ID's. It was this very same discovery by our own engineers -- made 12 years ago when we set out to develop a driver's ID software product -- that laid the foundations and developed the core know-how of our software products.
There is little standardization in the realm of state issued driver's ID's. While the AAMVA protocol is supposed to standardize the format of digital information, most states follow their own home-grown implementation of these guidelines. The result is that within each state there can be multiple versions of the digital formats: taken all together, these formats number in excess of 200 in the US and Canada.
While some of these differences in ID versions are intended, such as when a state modifies its requirement, many other variances are not intended. For example, such variations are caused by card production anomalies. Further, in many cases, both planned and unplanned variances are frequently not documented. In some cases the issuer is not even aware of an anomaly.
Accordingly, the logic required to decode each of the many possible versions of a state license is a process that requires look-back knowledge of existing formats and constant attention to newly discovered formats, which must be made in the field by reading and capturing the information from actual license cards.
Positive Access believes that our driver's ID parsing knowledge is the most comprehensive of any in the marketplace today. Further, we assure our users that we are committed to maintaining an accurate and up-to-date database of the various driver's license formats in circulation throughout the United States and Canada.
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