Writer identification using deep learning with fast keypoints and harris corner detector
Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …
problem that has been investigated for many decades now. Despite significant research …
A deep learning framework for text-independent writer identification
Abstract Handwriting Writer Identification (HWI) refers to the process of handwriting text
image analysis to identify the authorship of the documents. It has yielded promising results …
image analysis to identify the authorship of the documents. It has yielded promising results …
Text-independent writer identification using convolutional neural network
The text-independent approach to writer identification does not require the writer to write
some predetermined text. Previous research on text-independent writer identification has …
some predetermined text. Previous research on text-independent writer identification has …
Feature learning and encoding for multi-script writer identification
Writer identification from handwriting samples has been an interesting research problem for
the pattern recognition community in general and handwriting recognition community in …
the pattern recognition community in general and handwriting recognition community in …
Segmentation-free writer identification based on convolutional neural network
P Kumar, A Sharma - Computers & Electrical Engineering, 2020 - Elsevier
Handwriting recognition is one of the desired aspects of document understanding and
analysis. It deals with the writing style of the document and learns the features which …
analysis. It deals with the writing style of the document and learns the features which …
Automatic visual features for writer identification: a deep learning approach
Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …
not new. No one can repudiate its applications in a number of domains, such as forensic …
Writer identification using machine learning approaches: a comprehensive review
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
Chinese character-level writer identification using path signature feature, DropStroke and deep CNN
W Yang, L Jin, M Liu - 2015 13th International Conference on …, 2015 - ieeexplore.ieee.org
Most existing online writer-identification systems require that the text content is supplied in
advance and rely on separately designed features and classifiers. The identifications are …
advance and rely on separately designed features and classifiers. The identifications are …
Deep adaptive learning for writer identification based on single handwritten word images
S He, L Schomaker - Pattern Recognition, 2019 - Elsevier
There are two types of information in each handwritten word image: explicit information
which can be easily read or derived directly, such as lexical content or word length, and …
which can be easily read or derived directly, such as lexical content or word length, and …
Deepwriterid: An end-to-end online text-independent writer identification system
W Yang, L Jin, M Liu - IEEE Intelligent Systems, 2016 - ieeexplore.ieee.org
The rapid adoption of touchscreen mobile terminals and pen-based interfaces has
increased the demand for handwriting-based writer identification systems, particularly in the …
increased the demand for handwriting-based writer identification systems, particularly in the …