[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people
L Wang, Y Zhou, R Li, L Ding - Knowledge-Based Systems, 2022 - Elsevier
With a rapidly aging population, the health problems of older individuals have attracted
increasing attention. Elderly people are exposed to more health risks, and their behavior can …
increasing attention. Elderly people are exposed to more health risks, and their behavior can …
Text line segmentation from struck-out handwritten document images
In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and
overwriting are common behaviors of the writers. This not cleanly-written text poses …
overwriting are common behaviors of the writers. This not cleanly-written text poses …
Optimizing class priors to improve the detection of social signals in audio data
G Gosztolya - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
To detect social signals such as laughter and filler events in an audio recording, the most
straightforward way is to utilize a Hidden Markov Model—or these days a Hidden Markov …
straightforward way is to utilize a Hidden Markov Model—or these days a Hidden Markov …
A hybrid character recognition approach using fuzzy logic and stroke Bayesian program learning with Naïve Bayes in industrial environments
L Xu, Y Wang, R Li, X Yang, X Li - IEEE Access, 2020 - ieeexplore.ieee.org
Automated character recognition is critical for reading and tracking data in a variety of fields.
It is particularly challenging in industrial settings since information may be printed on the …
It is particularly challenging in industrial settings since information may be printed on the …
Relevance of grapheme's shape complexity in writer verification task
Recognizing and identifying people, based on their physical and behavioral characteristics,
have always had a wide range of applications, inciting researchers to propose dedicated …
have always had a wide range of applications, inciting researchers to propose dedicated …
Thai character segmentation in handwriting images using four directional depth first search
K Thongkanchorn… - 2019 11th …, 2019 - ieeexplore.ieee.org
One of the key processes for converting handwriting images into digital texts is the character
segmentation. It is very challenge especially for the case of segmenting the hand-writing due …
segmentation. It is very challenge especially for the case of segmenting the hand-writing due …
New deep spatio-structural features of handwritten text lines for document age classification
Document age estimation using handwritten text line images is useful for several pattern
recognition and artificial intelligence applications such as forged signature verification, writer …
recognition and artificial intelligence applications such as forged signature verification, writer …
Feature's Selection-Based Shape Complexity for Writer Identification Task
Writer Identification task has attracted a lot of research interests due to its wide variety of
applications. Different approaches based on various features exist in the literature. However …
applications. Different approaches based on various features exist in the literature. However …
[ZITATION][C] Online handwriting representation and synthesis using sinusoidal model
H Choudhury - 2021 - Guwahati