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This paper is a study of digital identity management system with specific emphasis on its implementation using a set of credentials. In our study we propose a credentials attributes mapping technique, the so-called common attributes mapping (CaMa) which facilitates the extraction of useful features to be represented in composing an identity. The study also groups credentials of similar types and information from them are fused and used as the set of discriminators which facilitate online identity of users. Using artificial neural networks, face recognition and fingerprint recognition, a digital environment identity (DEITY) is developed in .NET and tested. The system is effective in providing both the identities of the person and the equipment being used for online access.