Results 41 to 50 of about 393 (182)

Handwritten Text Recognition: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Text Recognition (HTR) has become an essential field within pattern recognition and machine learning, with applications spanning historical document preservation to modern data entry and accessibility solutions. The complexity of HTR lies in the high variability of handwriting, which makes it challenging to develop robust recognition ...
Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza   +2 more
openaire   +3 more sources

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Leveraging deep feature learning for handwriting biometric authentication [PDF]

International Journal of Research in Industrial Engineering
The authentication of writers through handwritten text stands as a biometric technique with considerable practical importance in the field of document forensics and literary history.
Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi   +2 more
doaj   +1 more source

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

Advanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti, Yichun Xu, Ludovica Asselta, J. Joshua Yang, R. Stanley Williams, Fernando Corinto   +5 more
wiley   +1 more source

Handwritten Text Digitizer

International Journal of Advanced Research in Science Communication and Technology
Handwritten text recognition remains a difficult problem due to variations in writing styles, stroke patterns, noise, and inconsistencies in real-world documents. Conventional Optical Character Recognition (OCR) systems rely on convolutional and recurrent networks, which show limitations when dealing with unconstrained handwriting.
null Dr. M. A. Pradhan, Kshirsagar Prathamesh Rahul, null Chavan Aditya Kamlesh, Patel Touhid Sabir   +1 more
openaire   +2 more sources

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Dark Heritage Prospection ‐ Mapping the Treblinka II Extermination Camp Using a Magnetometer Survey and Integrated Archival Sources

Archaeological Prospection, EarlyView.
ABSTRACT The history of Nazi German extermination camps has, until recently, relied primarily on eyewitness testimony. Very few official documents detailing the facilities survived the war due to the special operation ‘Sonderaktion 1005’, dedicated to hiding their existence and extent.
Sebastian Różycki, Michał Pisz, Paweł Bylina, James Walker, Lucy Benoit   +4 more
wiley   +1 more source

Ancient Yi Script Handwriting Sample Repository

Scientific Data
The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six ancient scripts in the world.
Xiaojuan Liu, Xu Han, Shanxiong Chen, Weijia Dai, Qiuyue Ruan   +4 more
doaj   +1 more source

Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)
The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition. However, not much attention has been paid on studying the handwritten text written in the margins, i.e.
Cheng, Liang, Frankemölle, Jonas, Axelsson, Adam, Vats, Ekta   +3 more
openaire   +3 more sources

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source