
Design of Offline and Online Writer Inference Technique
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1129.1292s219
Subject(s) - computer science , stylometry , communication source , writing style , inference , identification (biology) , identity (music) , biometrics , style (visual arts) , feature (linguistics) , natural language processing , online and offline , information retrieval , artificial intelligence , social media , world wide web , linguistics , telecommunications , philosophy , botany , biology , operating system , history , physics , archaeology , acoustics
Writer inference systems tend to identify and verify the authorship of the handwritten documents. Each writer will have his own style of writing that uniquely identifies the writer. Hence authorship identification finds its application in forensic document analysis. It is also considered as one of the biometric features of a person, so helps in security to uniquely identify a person. Recognition of writers online has its application in detecting the identity thefts. That is compromising one’s social media account and sending messages to others as if he were an authentic sender. By discriminating the writing characteristics of the original and intruder, the masquerader can be identified. In this survey various works contributing to feature extraction and prediction of writers are discussed.