Recent trends in mathematical expressions recognition: An LDA-based analysis
V Kukreja - Expert Systems with Applications, 2023 - Elsevier
Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …
four decades, the current literature and trends are varied and frequently influenced by …
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 …
Text-independent writer identification and verification using textural and allographic features
M Bulacu, L Schomaker - IEEE transactions on pattern analysis …, 2007 - ieeexplore.ieee.org
The identification of a person on the basis of scanned images of handwriting is a useful
biometric modality with application in forensic and historic document analysis and …
biometric modality with application in forensic and historic document analysis and …
Buffer overflows: Attacks and defenses for the vulnerability of the decade
Buffer overflows have been the most common form of security vulnerability for the last ten
years. Moreover, buffer overflow vulnerabilities dominate the area of remote network …
years. Moreover, buffer overflow vulnerabilities dominate the area of remote network …
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 …
Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features
We propose an effective method for automatic writer recognition from unconstrained
handwritten text images. Our method relies on two different aspects of writing: the presence …
handwritten text images. Our method relies on two different aspects of writing: the presence …
Texture-based descriptors for writer identification and verification
In this work, we discuss the use of texture descriptors to perform writer verification and
identification. We use a classification scheme based on dissimilarity representation, which …
identification. We use a classification scheme based on dissimilarity representation, which …
Automatic writer identification using connected-component contours and edge-based features of uppercase western script
L Schomaker, M Bulacu - IEEE transactions on pattern analysis …, 2004 - ieeexplore.ieee.org
In this paper, a new technique for offline writer identification is presented, using connected-
component contours (COCOCOs or CO/sup 3/s) in uppercase handwritten samples. In our …
component contours (COCOCOs or CO/sup 3/s) in uppercase handwritten samples. In our …
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 …
End-to-end online writer identification with recurrent neural network
Writer identification is an important topic for pattern recognition and artificial intelligence.
Traditional methods rely heavily on sophisticated hand-crafted features to represent the …
Traditional methods rely heavily on sophisticated hand-crafted features to represent the …