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 …
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 …
Encoding pathlet and SIFT features with bagged VLAD for historical writer identification
Offline writer identification plays an important role in forensic document examination and
historical document analysis. Today, challenges still exist in historical writer identification …
historical document analysis. Today, challenges still exist in historical writer identification …
Evaluating synthetic pre-Training for handwriting processing tasks
In this work, we explore massive pre-training on synthetic word images for enhancing the
performance on four benchmark downstream handwriting analysis tasks. To this end, we …
performance on four benchmark downstream handwriting analysis tasks. To this end, we …
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 …
[HTML][HTML] Offline text-independent writer identification using a codebook with structural features
BQ Ahmed, YF Hassan, AS Elsayed - Plos one, 2023 - journals.plos.org
Understanding handwritten documents is a vital and challenging problem that attracts many
researchers in the fields of forensic and authentication science. This paper presents an …
researchers in the fields of forensic and authentication science. This paper presents an …
[HTML][HTML] User authentication based on handwriting analysis of pen-tablet sensor data using optimal feature selection model
Handwriting analysis is playing an important role in user authentication or online writer
identification for more than a decade. It has a significant role in different applications such as …
identification for more than a decade. It has a significant role in different applications such as …
[PDF][PDF] Hybrid Trainable System for Writer Identification of Arabic Handwriting.
SI Saleem, AM Abdulazeez - Computers, Materials & Continua, 2021 - researchgate.net
Writer identification (WI) based on handwritten text structures is typically focused on digital
characteristics, with letters/strokes representing the information acquired from the current …
characteristics, with letters/strokes representing the information acquired from the current …
Writer identification using redundant writing patterns and dual-factor analysis of variance
Writer identification (WI) is a typical pattern recognition problem with the goal of recognizing
the writer of a text from images of his or her handwriting. For handwriting-based applications …
the writer of a text from images of his or her handwriting. For handwriting-based applications …