P Zhang, J Jiang, Y Liu, L Jin - Advances in Neural …, 2022 - proceedings.neurips.cc
Although online handwriting verification has made great progress recently, the verification performances are still far behind the real usage owing to the small scale of the datasets as …
Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for …
Writer identification has steadily progressed in recent decades owing to its widespread application. Scenarios with extensive handwriting data such as page-level or sentence-level …
This paper presents an end-to-end attention-based neural network for identifying writers in historical documents. The proposed network does not require any preprocessing stages …
S Rasoulzadeh, B BabaAli - IET Biometrics, 2022 - Wiley Online Library
The issue of writer identification and writer retrieval, which is considered a challenging problem in the field of document analysis and recognition is addressed here.. A novel …
Handwritten document analysis is an area of forensic science, with the goal of establishing authorship of documents through examination of inherent characteristics. Law enforcement …
This paper presents an unsupervised approach for writer retrieval based on clustering SIFT descriptors detected at keypoint locations resulting in pseudo-cluster labels. With those …
Identification of scribes from historical manuscripts has remained an equally interesting problem for paleographers as well as the pattern classification researchers. Though …
A Litifu, J Xiao, Y Yan, H Jiang - Journal of Visual Communication and …, 2024 - Elsevier
For text-independent writer identification (WI) tasks, this paper proposes a novel method based on semantic codebooks and two effective feature descriptors. This method requires …