Results 61 to 70 of about 3,103 (225)

On the Generalization of Handwritten Text Recognition Models

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Recent advances in Handwritten Text Recognition (HTR) have led to significant reductions in transcription errors on standard benchmarks under the i.i.d. assumption, thus focusing on minimizing in-distribution (ID) errors. However, this assumption does not hold in real-world applications, which has motivated HTR research to explore Transfer Learning and
Carlos Garrido-Munoz, Jorge Calvo-Zaragoza   +1 more
openaire   +3 more sources

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 recognition using deep learning techniques: A survey [PDF]

MATEC Web of Conferences
HTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S., Kushal Reddy P., Prashanth V., Srinath Reddy K.   +3 more
doaj   +1 more source

Lexicon and attention based handwritten text recognition system

Machine Graphics & Vision, 2022
The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives. It is a sub-domain of pattern recognition.
Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma   +3 more
doaj   +1 more source

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

Diffusion-Enhanced NAT–BART Vision Language Transformer for Unified Urdu Word Recognition

IEEE Access
Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text
Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf   +6 more
doaj   +1 more source

Attention-Based Fully Gated CNN-BGRU for Russian Handwritten Text

Journal of Imaging, 2020
This article considers the task of handwritten text recognition using attention-based encoder–decoder networks trained in the Kazakh and Russian languages.
Abdelrahman Abdallah, Mohamed Hamada, Daniyar Nurseitov   +2 more
doaj   +1 more source

TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition

IEEE Access, 2023
Pashto is the native language of Afghanistan and one of Pakistan’s most essential and regional languages. The Pashto language has a vast number of native speakers who live in various parts of the world.
Muhammad Shabir, Zahoor Jan, Naveed Islam, Inayat Khan, Gauhar Ali, Mohammed ElAffendi   +5 more
doaj   +1 more source

Best Practices for a Handwritten Text Recognition System

, 2022
Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable boost in performance concerning text recognition, non-trivial deviation in performance can be detected even when small pre-processing or architectural/optimization elements ...
George Retsinas, Giorgos Sfikas, Basilis Gatos, Christophoros Nikou   +3 more
openaire   +4 more sources