Length independent writer identification based on the fusion of deep and hand-crafted descriptors
Writer's identification from a handwritten text is one of the most challenging machines
learning problems because of the variable handwritten sources, various languages, the …
learning problems because of the variable handwritten sources, various languages, the …
Cross multi-scale locally encoded gradient patterns for off-line text-independent writer identification
Writer identification is experiencing a revival of activity in recent years and continues to
attract great deal of attention as a challenging and important area of research in the field of …
attract great deal of attention as a challenging and important area of research in the field of …
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 …
A deep learning based system for writer identification in handwritten Arabic historical manuscripts
Determining the writer or transcriber of historical Arabic manuscripts has always been a
major challenge for researchers in the field of humanities. With the development of …
major challenge for researchers in the field of humanities. With the development of …
Level online writer identification
Abstract Writer identification (writer-id), an important field in biometrics, aims to identify a
writer by their handwriting. Identification in existing writer-id studies requires a complete …
writer by their handwriting. Identification in existing writer-id studies requires a complete …
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 …
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historical documents has gained increased interest.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historical documents has gained increased interest.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 …
Writer retrieval and writer identification in Greek papyri
The analysis of digitized historical manuscripts is typically addressed by paleographic
experts. Writer identification refers to the classification of known writers while writer retrieval …
experts. Writer identification refers to the classification of known writers while writer retrieval …
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 …
A survey on different feature extraction methods for writer identification and verification
Identifying and verifying a person based on scanned images of their handwriting is a needful
biometric application in historical document analysis, behavioural biometrics study, forensic …
biometric application in historical document analysis, behavioural biometrics study, forensic …