Results 71 to 80 of about 2,879 (227)

A Pix2Pix Architecture for Complete Offline Handwritten Text Normalization

Sensors
In the realm of offline handwritten text recognition, numerous normalization algorithms have been developed over the years to serve as preprocessing steps prior to applying automatic recognition models to handwritten text scanned images. These algorithms
Alvaro Barreiro-Garrido, Victoria Ruiz-Parrado, A. Belen Moreno, Jose F. Velez   +3 more
doaj   +1 more source

Pulse‐Engineered Synaptic Linearity and Non‐Volatile Memory in MoO3/TiO2 Bilayer Memristors for Neuromorphic Image Recognition

Advanced Electronic Materials, EarlyView.
Pulse‐protocol optimization in an Au/MoO3/TiO2/FTO bilayer memristor enables linear analog synaptic conductance modulation along with digital resistive switching for memory. Controlled filament evolution produces stable learning‐forgetting characteristics with low nonlinearity, resulting in significantly enhanced neural network inference accuracy for ...
Girish Chandrashekar, Atul Thakre, R. Thamankar   +2 more
wiley   +1 more source

Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition

IEEE Access, 2021
One of the most recent challenging issues of pattern recognition and artificial intelligence is Arabic text recognition. This research topic is still a pervasive and unaddressed research field, because of several factors.
Najoua Rahal, Maroua Tounsi, Amir Hussain, Adel M. Alimi   +3 more
doaj   +1 more source

StackMix and Blot Augmentations for Handwritten Text Recognition

CoRR, 2021
This paper proposes a handwritten text recognition(HTR) system that outperforms current state-of-the-artmethods. The comparison was carried out on three of themost frequently used in HTR task datasets, namely Ben-tham, IAM, and Saint Gall. In addition, the results on tworecently presented datasets, Peter the Greats manuscriptsand HKR Dataset, are ...
Alex Shonenkov, Denis Karachev, Maxim Novopoltsev, Mark Potanin, Denis Dimitrov   +4 more
openaire   +2 more sources

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +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

Arabic Handwritten Letters Recognition Using Convolutional Neural Networks

Advances in Electrical and Computer Engineering
Arabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
doaj   +1 more source

Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition [PDF]

E3S Web of Conferences
Analyzing and classifying images of Arabic handwritten characters is crucial for text understanding and interpretation from image data. The recognition of handwritten Arabic characters not only preserves the integrity of the Arabic language but also ...
El Ibrahimi Aissam, Elzaar Abdellah, El Akchioui Nabil, Benaya Nabil, El Allati Abderrahim   +4 more
doaj   +1 more source

Charlotte Pommer: Resistance fighter and female pioneer of German anatomy

Anatomical Sciences Education, EarlyView.
Abstract This article examines the biography and unique case of Charlotte Pommer (1914–2004), the only anatomist documented to have left the field during the Nazi period after encountering the regime's victims on the dissection table. While she is known for her resistance activities, newly presented documentation reveals her role as the provisional ...
Tim S. Goldmann
wiley   +1 more source

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?

2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Accepted at ICCV Workshop ...
Vittorio Pippi, Konstantina Nikolaidou, Silvia Cascianelli, George Retsinas, Giorgos Sfikas, Rita Cucchiara, Marcus Liwicki   +6 more
openaire   +2 more sources