Results 21 to 30 of about 2,556,338 (294)
Jurnal Paedagogy, 2022 This study aims to describe the conditions and foster a character of recognition for students of SDS Muhammadiyah 4 Cawang East Jakarta. The research uses the PAR (Participant Action Research) method with validity tests using Pre-Test and Post-Test to ...
Mubarak Ahmad +4 more
doaj +1 more source
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 +12 more
core +2 more sources
Arabic Character Recognition Using CNN LeNet-5
JOIV: International Journal on Informatics Visualization, 2023 The human handwriting pattern is one of the research areas of pattern recognition; it is very complex. Therefore, research in this field has become quite popular.
Gibran Satya Nugraha +4 more
doaj +1 more source
IMPLEMENTATION OF REJECTION STRATEGIES INSIDE MALAYALAM CHARACTER RECOGNITION SYSTEM BASED ON RANDOM FOURIER FEATURES AND REGULARIZED LEAST SQUARE CLASSIFIER [PDF]
Journal of Engineering Science and Technology, 2018 Robust and reliable recognition are indeed necessary requirements for optical character recognition systems. Distortions present in the document image and the pre-processing errors cause the optical character recognition system to apply rejection ...
MANJUSHA K, ANAND KUMAR M., SOMAN K. P.
doaj
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 +2 more
doaj +1 more source
OCR FOR ENGLISH CHARACTERS BASED ON POLAR HISTOGRAM FEATURE EXTRACTION AND EUCLIDEAN DISTANCE
Yanbu Journal of Engineering and Science, 2019 Optical character recognition is the process of converting characters from image format to text format. The process includes four main stages namely: pre-processing, feature extraction, character recognition, and post-processing.
Saleh Ali Alshehri
doaj +1 more source
Self-supervised adaptation for on-line script text recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised ...
Loic Oudot +2 more
doaj +1 more source
Character recognition in context
Information and Control, 1967 Techniques are described to enhance the output of an hypothesized character-recognition machine by producing solutions in those instances where the machine fails to identify a character within an English word in normal technical text. The techniques are based, not on full dictionary look-up, but on n-gram occurrence lists and context-dependent syllable
Richard B. Thomas, Michael Kassler
openaire +2 more sources
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Alkhateeb, Jawad H. +3 more
core +4 more sources
Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
doaj +1 more source