Results 31 to 40 of about 54,146 (282)

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

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

Diagonal Based Feature Extraction for Handwritten Alphabets Recognition System using Neural Network

, 2011
An off-line handwritten alphabetical character recognition system using multilayer feed forward neural network is described in the paper. A new method, called, diagonal based feature extraction is introduced for extracting the features of the handwritten
Himavathi, S., Pradeep, J., Srinivasan, E.   +2 more
core   +2 more sources

Consistent relaxation matching for handwritten Chinese character recognition [PDF]

, 1995
Due to the complexity in structure and the various distortions (translation, rotation, shifting, and deformation) in different writing styles of Handwritten Chinese Characters(HCCs), it is more suitable to use a structural matching algorithm for computer
Chan, KP, Jin, LW, Xu, BingZ
core   +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

MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters

, 2020
At present, recognition of the Bangla handwriting compound character has been an essential issue for many years. In recent years there have been application-based researches in machine learning, and deep learning, which is gained interest, and most ...
Ferdous, Jannatul, Hossain, Syed Akhter, Karmaker, Suvrajit, Rabby, A K M Shahariar Azad   +3 more
core   +1 more source

Structural model constructing for optical handwritten character recognition [PDF]

, 2017
The article is devoted to the development of the algorithms for optical handwritten character recognition based on the structural models constructing. The main advantage of these algorithms is the low requirement regarding the number of reference images.
Khaustov, Pavel Aleksandrovich, Maksimova, Elena Ivanovna, Spitsyn, Vladimir Grigorievich   +2 more
core   +1 more source

Nepali Handwritten Character Recognition System

, 2022
{"references": ["Purohit, A., & Chauhan, S. S. (2016). A literature survey on handwritten character recognition. IJCSIT) International Journal of Computer Science and Information Technologies, 7(1), 1-5.", "Acharya, S., Pant, A. K., & Gyawali, P. K. (2015, December).
Acharya, Santosh, Shashank Dhungel, Jha, Ashish Kr.   +2 more
openaire   +1 more source

Embedded Large–Scale Handwritten Chinese Character Recognition [PDF]

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
As handwriting input becomes more prevalent, the large symbol inventory required to support Chinese handwriting recognition poses unique challenges. This paper describes how the Apple deep learning recognition system can accurately handle up to 30,000 Chinese characters while running in real-time across a range of mobile devices.
Chherawala, Youssouf, Dolfing, Hans J. G. A., Dixon, Ryan S., Bellegarda, Jerome R.   +3 more
openaire   +2 more sources

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