Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data

Grapheme Based Writer Verification

In this communication we propose an approach for the writer verification task. The difficulty of this task lies first, in the decision making between the two assumptions which model the problem: "Do the two writings come from the same writer ?" or "Do the two writings come from different writers?" and second, in the evaluation of the error risk associated to this decision. We have called upon a...

Improving Writer Identification Through Writer Selection

In this work we present a method for selecting instances for a writer identification system underpinned on the dissimilarity representation and a holistic representation based on texture. The proposed method is based on a genetic algorithm that surpasses the limitations imposed by large training sets by selecting writers instead of instances. To show the efficiency of the proposed method, we ha...

Nurse as writer, writer as nurse.

Handwritten text recognition through writer adaptation

Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing. This knowledge can help the recognition system to find coherent solutions from both the lexical and the...

Allograph Based Writer Adaptation for Handwritten Character Recognition

Writer adaptation is the process of converting a generic (writer-independent) handwriting recognizer into a personalized (writer-dependent) recognizer with improved accuracy for a particular user. While training the generic recognizer uses large amounts of data from several writers, the adaptation process uses only a few samples from a single user. In this paper we present a) an automatic appro...