Results 31 to 40 of about 2,577,807 (291)

Metrics and Models for Handwritten Character Recognition [PDF]

Statistical Science, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hastie, Trevor, Simard, Patrice Y.
openaire   +3 more sources

ZONING DESIGN FOR HAND­WRITTEN NUMERAL RECOGNITION [PDF]

, 1997
Microsoft, Motorola, Siemens, Hitachi, IAPR, NICI, IUF In the field of Optical Character Recognition (OCR), zoning is used to extract topological information from patterns. In this paper zoning is considered as the result of an optimisation problem and a
PIRLO, Giuseppe, IMPEDOVO, Sebastiano, Pirlo, G., Guerriero, A., IMPEDOVO S, Dimauro, G., Guerriero, A., Impedovo, S., Salzo, A., A. SALZO, Pirlo, G., DIMAURO, Giovanni, Lecce Di, V.   +12 more
core   +2 more sources

Convolutional Neural Networks for Handwritten Javanese Character Recognition

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2018
Convolutional neural network (CNN) is state-of-the-art method in object recognition task. Specialized for spatial input data type, CNN has special convolutional and pooling layers which enable hierarchical feature learning from the input space.
Chandra Kusuma Dewa, Amanda Lailatul Fadhilah, A Afiahayati   +2 more
doaj   +1 more source

Recognition of Pashto Handwritten Characters Based on Deep Learning

Sensors, 2020
Handwritten character recognition is increasingly important in a variety of automation fields, for example, authentication of bank signatures, identification of ZIP codes on letter addresses, and forensic evidence.
Muhammad Sadiq Amin, Siddiqui Muhammad Yasir, Hyunsik Ahn   +2 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

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

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

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

Character segmentation from ancient palm leaf manuscripts in Thailand [PDF]

, 2011
This paper presents a character segmentation system from ancient palm leaf manuscripts written in ancient Thai language. This aims to develop an automated system for the digitization and processing of ancient manuscripts. In this paper, the preprocessing
Fung, C.C., Chun Che Fung, Rapeeporn Chamchong, Chamchong, R.   +3 more
core   +1 more source

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]

, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C., Chun Che Fung, Sangsawad, S., Seksan Sangsawad   +3 more
core   +1 more source