Results 21 to 30 of about 12,790 (195)

An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting

open access: yesIEEE Access, 2019
The handwriting of a person may vary substantially with factors, such as mood, time, space, writing speed, writing medium/tool, writing a topic, and so on. It becomes challenging to perform automated writer verification/identification on a particular set
Chandranath Adak   +2 more
doaj   +1 more source

Convolutional Neural Networks for Off-Line Writer Identification Based on Simple Graphemes

open access: yesApplied Sciences, 2020
The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.).
Marco Mora   +2 more
doaj   +1 more source

Co-occurrence Features for Writer Identification [PDF]

open access: yes2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016
In this paper, we propose two novel textural-based features for writer identification: CoHinge and QuadHinge which are based on the spatial and attribute co-occurrence of the Hinge kernel. The CoHinge feature is the joint distribution of the Hinge kernel on two different pixels of writing contours and the QuadHinge feature is the joint distribution of ...
He, Sheng, Schomaker, Lambert
openaire   +2 more sources

Improving Writer Identification Through Writer Selection [PDF]

open access: yes, 2015
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.
Diego Bertolini   +2 more
openaire   +1 more source

Writer Retrieval and Writer Identification in Greek Papyri

open access: yes, 2022
The analysis of digitized historical manuscripts is typically addressed by paleographic experts. Writer identification refers to the classification of known writers while writer retrieval seeks to find the writer by means of image similarity in a dataset of images.
Vincent Christlein   +4 more
openaire   +2 more sources

Writer Identification Based on Hand Writing using Artificial Neural Network

open access: yesInternational Journal of Applied Sciences and Smart Technologies, 2021
Humans are social beings who depend on social interaction. Social interaction that is often used is communication. Communication is one of the bridges to connect social relations between humans.
Rosalia Arum Kumalasanti
doaj   +1 more source

Unsupervised Feature Learning for Writer Identification and Writer Retrieval [PDF]

open access: yes2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
ICDAR2017 camera ready (fixed p@2 values, missing table references)
Christlein, Vincent   +3 more
openaire   +2 more sources

Exploring Medieval Manuscripts Writer Predictability: A Study on Scribe and Letter Identification

open access: yesDigital Studies, 2022
Handwriting communication is a long-established human activity that has survived into the 21st century. Accordingly, research interest in handwritten documents, both historical and modern, is significant.
Francimaria Rayanne Dos Santos Nascimento   +2 more
doaj   +2 more sources

Texture feature column scheme for single‐ and multi‐script writer identification

open access: yesIET Biometrics, 2021
Identification of writers from images of handwriting is an interesting research problem in the handwriting recognition community. Application of image analysis and machine learning techniques to this problem allows development of computerised solutions ...
Faycel Abbas   +5 more
doaj   +1 more source

Discriminating Features for Writer Identification [PDF]

open access: yes2013 12th International Conference on Document Analysis and Recognition, 2013
This paper investigates highly discriminating features for writer identification for off-line handwritten text lines and passages. Five categories of features are tested: slant and slant energy, skew, pixel distribution, curvature, and entropy. Four experiments are run utilizing the IAM Handwriting Database and the ICDAR 2011 Writer Identification ...
Zachary A. Daniels, Henry S. Baird
openaire   +1 more source

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