This paper reviews various text independent writer identification techniques through offline documents. Different features extraction methods are discussed. Classification approaches that are mainly used for identification by the researchers and verification by different groups and individuals are presented. Identification rates achieved by the reviewed papers are tabulated and analyzed. A survey of different databases used in the reviewed papers is performed. Application of writer identification in different language domains is also discussed. Future directions for the automated writer identification are presented in the end.