Results 261 to 270 of about 4,593,161 (321)
Some of the next articles are maybe not open access.
Handprinted Character Recognition
1973Abstract : This report discusses a research effort whose object is the design of a handprint alpha-numeric reader capable of human recognition rates. The effort included: Collection of a large data base of unconstrained handprinted alpha-numeric characters; Editing the data to re- label mislabeled characters, remove noise, and delete totally illegible ...
David B. Connell +3 more
openaire +1 more source
DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition
Multimedia tools and applications, 2021S. Narang, Munish Kumar, M. Jindal
semanticscholar +1 more source
Building efficient CNN architecture for offline handwritten Chinese character recognition
International Journal on Document Analysis and Recognition, 2018Deep convolutional neural networks-based methods have brought great breakthrough in image classification, which provides an end-to-end solution for handwritten Chinese character recognition (HCCR) problem through learning discriminative features ...
Zhiyuan Li +3 more
semanticscholar +1 more source
Management Decision, 1971
The idea of optical character recognition (OCR), in other words the “reading” of documents by other than human means, arose as a practical proposition during the Second World War. Wartime experience of using computers in the United States had revealed the contrasts in speeds between the transcription of documents to be processed (at that time the ...
openaire +1 more source
The idea of optical character recognition (OCR), in other words the “reading” of documents by other than human means, arose as a practical proposition during the Second World War. Wartime experience of using computers in the United States had revealed the contrasts in speeds between the transcription of documents to be processed (at that time the ...
openaire +1 more source
UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
Neural computing & applications (Print), 2021Faisel Mushtaq +3 more
semanticscholar +1 more source
An improved faster-RCNN model for handwritten character recognition
The Arabian journal for science and engineering, 2021Saleh Albahli +3 more
semanticscholar +1 more source
Pattern Recognition Letters, 2018
Recently convolutional neural networks (CNN) have demonstrated remarkable performance in various classification problems. In this paper, we also introduce CNN into in-air handwritten Chinese character recognition (IAHCCR) and propose new directional ...
Xiwen Qu +3 more
semanticscholar +1 more source
Recently convolutional neural networks (CNN) have demonstrated remarkable performance in various classification problems. In this paper, we also introduce CNN into in-air handwritten Chinese character recognition (IAHCCR) and propose new directional ...
Xiwen Qu +3 more
semanticscholar +1 more source
Journal of Visual Impairment & Blindness, 1990
Computer-based optical character recognition (OCR) systems allow blind persons access to a wide variety of printed material. This article describes these systems and how they work and discusses the features that should be considered before one purchases them.
L. Converso, S. Hocek
openaire +1 more source
Computer-based optical character recognition (OCR) systems allow blind persons access to a wide variety of printed material. This article describes these systems and how they work and discusses the features that should be considered before one purchases them.
L. Converso, S. Hocek
openaire +1 more source
PS: Political Science & Politics, 1992
Optical character recognition (OCR) is a process by which printed text is detected and transformed into a computer text file. OCR consists of two basic processes: scanning and recognition. Scanning, performed with a device called a scanner, digitizes the printed page, creating a coded graphics version of the text that may be stored on disk.
Anne Permaloff, Carl Grafton
openaire +1 more source
Optical character recognition (OCR) is a process by which printed text is detected and transformed into a computer text file. OCR consists of two basic processes: scanning and recognition. Scanning, performed with a device called a scanner, digitizes the printed page, creating a coded graphics version of the text that may be stored on disk.
Anne Permaloff, Carl Grafton
openaire +1 more source