Results 31 to 40 of about 2,034 (261)

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

Student handwritten mathematical formula recognition model combining EfficientNet and GNN

Systems and Soft Computing
Recognizing handwritten mathematical formulas in student test papers can greatly increase the scoring speed. However, due to the instability of handwritten mathematical formulas, such as irregular writing and character distortion, the recognition effect ...
Jimin Guo
doaj   +1 more source

A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters

IEEE Access, 2020
Handwritten character recognition has been profoundly studied for many years in the field of pattern recognition. Due to its vast practical applications and financial implications, the handwritten character recognition is still an important research area.
Halefom Tekle Weldegebriel, Han Liu, Anwar Ul Haq, Emmanuel Bugingo, Defu Zhang   +4 more
doaj   +1 more source

uTHCD: A New Benchmarking for Tamil Handwritten OCR

IEEE Access, 2021
The robustness of a typical Handwritten character recognition system relies on the availability of comprehensive supervised data samples. There has been considerable work reported in the literature about creating the database for several Indic scripts ...
Noushath Shaffi, Faizal Hajamohideen
doaj   +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

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Designing Offline Arabic Handwritten Isolated Character Recognition System using Artificial Neural Network Approach

International Journal of Technology, 2017
The Arabic language is one of the major languages that has little attention in character recognition field by Arab researchers in particular and foreign researchers in general.
Ahmed Subhi Abdalkafor
doaj   +1 more source

Bio‐Derived Polyelectrolyte Additive–Induced Interfacial Ion‐Diffusion Barriers for Nonvolatile Organic Artificial Synapses

Advanced Functional Materials, EarlyView.
Sodium alginate regulates interfacial ion transport and retention in electrolyte‐gated synaptic transistors. The carboxylate‐rich polymeric network forms a dynamic interfacial ion‐diffusion barrier that facilitates ion injection during programming while suppressing ion back‐diffusion, thereby stabilizing the electrochemically doped channel state.
Chaeyeon Han, Donghwa Lee, Hyeonse Kim, Hyoik Jang, Sein Chung, Geun Yeol Bae, Eunho Lee   +6 more
wiley   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

IEEE Access, 2020
Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or images
Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin   +3 more
doaj   +1 more source