Results 51 to 60 of about 3,103 (225)

Machine Learning Approach for Arabic Handwritten Recognition

Applied Sciences
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri   +2 more
doaj   +1 more source

SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper

IEEE Access, 2019
Most existing studies and public datasets for handwritten Chinese text recognition are based on the regular documents with clean and blank background, lacking research reports for handwritten text recognition on challenging areas such as educational ...
Yuanzhi Zhu, Zecheng Xie, Lianwen Jin, Xiaoxue Chen, Yaoxiong Huang, Ming Zhang   +5 more
doaj   +1 more source

Automatic Receipt Recognition System Based on Artificial Intelligence Technology

Applied Sciences, 2022
In this study, an automatic receipt recognition system (ARRS) is developed. First, a receipt is scanned for conversion into a high-resolution image. Receipt characters are automatically placed into two categories according to the receipt characteristics:
Cheng-Jian Lin, Yu-Cheng Liu, Chin-Ling Lee   +2 more
doaj   +1 more source

Handwritten Text Recognition from Crowdsourced Annotations

Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023
Accepted to the 7th International Workshop on Historical Document Imaging and Processing (HIP 23)
Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant   +4 more
openaire   +4 more sources

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

Advanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco, Francesca Vittorioso, Dimitrios C. Zografopoulos, Romeo Beccherelli, Walter Fuscaldo   +4 more
wiley   +1 more source

Multimodal Handwritten Exam Text Recognition Based on Deep Learning

Applied Sciences
To address the complex challenge of recognizing mixed handwritten text in practical scenarios such as examination papers and to overcome the limitations of existing methods that typically focus on a single category, this paper proposes MHTR, a Multimodal
Hua Shi, Zhenhui Zhu, Chenxue Zhang, Xiaozhou Feng, Yonghang Wang   +4 more
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

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

Seam carving, horizontal projection profile and contour tracing for line and word segmentation of language independent handwritten documents

Results in Engineering, 2023
Handwritten documents are, as always, highly challenging for recognition tasks compared to printed documents. Rather than using isolated characters as elementary components for recognition, practical documents use words or character strings.
Mamatarani Das, Mrutyunjaya Panda
doaj   +1 more source