… These include character segmentation, character-level writer classification and fusion of …
the use of writer identification to improve OCR or OCR to improve writer identification. In Cao, …

… serve as features for subsequent classification tasks. We evaluate the feature representations
on … on historical document writer identification (Historical-WI). We show that the activation …

… We use a classification scheme based on dissimilarity representation, which has …
representation, such as the impact of the number of references used for verification and identification, …

… Seeja, “Forensic writer identification with projection profile representation of graphemes,” in
Proceedings of First International Conference on Smart System, Innovations and Computing. …

… The development of our writer identification techniques takes … base representations which
will then be used for feature … This is a very effective vectorial representation that will allow …

… most essential characteristics of a desired feature representation is its ability to provide the
… task depends heavily on finding a feature representation in which samples from different …

… off-line writer identification starting from manuscript images and using features obtained by
… main works in writer identification task using deep learning or feature learning. Hafemann et …

… to writer identification in Section 2 and we present our proposed LBPruns feature in Section
3 and the proposed COLD feature in … into a histogram to form the feature representation. …

… the writer identification and the writer verification tasks can be carried out using local features
… step is used where the goal is to obtain a relevant representation for the retrieval process …

With the growth of artificial intelligence techniques the problem of writer identification from …
writers of these documents. This paper introduces our baseline system for writer identification, …