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 …
Deepwriter: A multi-stream deep CNN for text-independent writer identification
L Xing, Y Qiao - 2016 15th international conference on frontiers …, 2016 - ieeexplore.ieee.org
Text-independent writer identification is challenging due to the huge variation of written
contents and the ambiguous written styles of different writers. This paper proposes …
contents and the ambiguous written styles of different writers. This paper proposes …
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 …
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 …
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 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 …
Fragnet: Writer identification using deep fragment networks
S He, L Schomaker - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
Writer identification based on a small amount of text is a challenging problem. In this paper,
we propose a new benchmark study for writer identification based on word or text block …
we propose a new benchmark study for writer identification based on word or text block …
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 …
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 …
Writer identification for historical handwritten documents using a single feature extraction method
With the growth of artificial intelligence techniques the problem of writer identification from
historical documents has gained increased interest. It consists on knowing the identity of …
historical documents has gained increased interest. It consists on knowing the identity of …