Results 21 to 30 of about 107,810 (260)
On developing handwritten character image database for Malayalam language script
The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
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Alternative Collaborative Learning for Character Recognition in Low-Resolution Images
Character recognition in a single image is a technology utilized in various sensor platforms, such as smart parking and text-to-speech systems, and numerous studies are being conducted to improve its performance by experimenting with novel approaches ...
Sungjin Lee, Jun Seok Yun, Seok Bong Yoo
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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
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Arabic Character Recognition Using CNN LeNet-5
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
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Character recognition algorithms
The article discusses various algorithms for character recognition, describes their advantages and disadvantages. The modified algorithm of character recognition based on the template method is proposed, its block diagram is given, the results of testing are presented, as well as the possibility of its application in the system of automated test forms ...
A. A. Valke, D. G. Lobov
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RECOGNITION AND THE CHARACTER OF SENECA'S MEDEA [PDF]
This article examines the character and identity of Seneca's Medea. Focusing on the recognition scene at the end of the play, I investigate how Medea constructs herself both as a literary figure and as an implied human personality. The concluding scene of Seneca'sMedearaises crucial questions about self-coherence and recognisability: in contrast to ...
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IMPLEMENTATION OF REJECTION STRATEGIES INSIDE MALAYALAM CHARACTER RECOGNITION SYSTEM BASED ON RANDOM FOURIER FEATURES AND REGULARIZED LEAST SQUARE CLASSIFIER [PDF]
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
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
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Self-supervised adaptation for on-line script text recognition
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
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OCR FOR ENGLISH CHARACTERS BASED ON POLAR HISTOGRAM FEATURE EXTRACTION AND EUCLIDEAN DISTANCE
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
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