DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …
documents is an applicable biometric modality with applications in forensic and historic …
DeepNet-WI: a deep-net model for offline Urdu writer identification
ST Nabi, M Kumar, P Singh - Evolving Systems, 2023 - Springer
Since the dawn of civilization, handwriting has been one of the most important forms of
communication. However, as handwriting differs from person to person, writer identification …
communication. However, as handwriting differs from person to person, writer identification …
End-To-end evaluation of deep learning architectures for off-line handwriting writer identification: A comparative study
W Suteddy, DAR Agustini, A Adiwilaga… - JOIV: International Journal …, 2023 - joiv.org
Identifying writers using their handwriting is particularly challenging for a machine, given that
a person’ s writing can serve as their distinguishing characteristic. The process of …
a person’ s writing can serve as their distinguishing characteristic. The process of …
Deep bidirectional long short-term memory for online multilingual writer identification based on an extended Beta-elliptic model and fuzzy elementary perceptual …
The development of pattern recognition and artificial intelligence domains owes the writer
identification challenge greatly. In fact, writer identification is still a challenging task in the …
identification challenge greatly. In fact, writer identification is still a challenging task in the …
An effective DeepWINet CNN model for off-line text-independent writer identification
Writer identification based on handwriting recognition is considered one of the most
common research areas in pattern recognition and biometrics. It has attracted much …
common research areas in pattern recognition and biometrics. It has attracted much …
WriterINet: a multi-path deep CNN for offline text-independent writer identification
Handwriting-based identification is a fundamental pattern recognition problem that has
attracted considerable interest in recent years. Writer identification is a major challenge …
attracted considerable interest in recent years. Writer identification is a major challenge …
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 …
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 …
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 …
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 …