Results 221 to 230 of about 35,820 (263)
Some of the next articles are maybe not open access.
Proceedings of the IEEE, 1992
It is argued that it is time for a major change of approach to optical character recognition (OCR) research. The traditional approach, focusing on the correct classification of isolated characters, has been exhausted. The demonstration of the superiority of a new classification method under operational conditions requires large experimental facilities ...
openaire +2 more sources
It is argued that it is time for a major change of approach to optical character recognition (OCR) research. The traditional approach, focusing on the correct classification of isolated characters, has been exhausted. The demonstration of the superiority of a new classification method under operational conditions requires large experimental facilities ...
openaire +2 more sources
Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002
Telugu is the language spoken by more than 100 million people of South India. Telugu has a complex orthography with a large number of distinct character shapes (estimated to be of the order of 10,000) composed of simple and compound characters formed from 16 vowels (called achchus) and 36 consonants (called hallus).
Atul Negi +2 more
openaire +2 more sources
Telugu is the language spoken by more than 100 million people of South India. Telugu has a complex orthography with a large number of distinct character shapes (estimated to be of the order of 10,000) composed of simple and compound characters formed from 16 vowels (called achchus) and 36 consonants (called hallus).
Atul Negi +2 more
openaire +2 more sources
2011 International Conference on Document Analysis and Recognition, 2011
Optical character recognition is carried out using techniques borrowed from statistical machine translation. In particular, the use of multiple simple feature functions in linear combination, along with minimum-error-rate training, integrated decoding, and $N$-gram language modeling is found to be remarkably effective, across several scripts and ...
Dmitriy Genzel +6 more
openaire +2 more sources
Optical character recognition is carried out using techniques borrowed from statistical machine translation. In particular, the use of multiple simple feature functions in linear combination, along with minimum-error-rate training, integrated decoding, and $N$-gram language modeling is found to be remarkably effective, across several scripts and ...
Dmitriy Genzel +6 more
openaire +2 more sources
Journal of the American Society for Information Science, 1992
Optical Character Recognition (OCR) has become a highly demanded information transfer technology in recent years. A problem of current OCR technology is that texts produced by the state-of-the-art OCR software contain an unacceptable frequency of errors.
Wei Sun 0002 +3 more
openaire +2 more sources
Optical Character Recognition (OCR) has become a highly demanded information transfer technology in recent years. A problem of current OCR technology is that texts produced by the state-of-the-art OCR software contain an unacceptable frequency of errors.
Wei Sun 0002 +3 more
openaire +2 more sources
2019 International Conference on Document Analysis and Recognition (ICDAR), 2019
Synthetic data generation for optical character recognition (OCR) promises unlimited training data at zero annotation cost. With enough fonts and seed text, we should be able to generate data to train a model that approaches or exceeds the performance with real annotated data. Unfortunately, this is not always the reality. Unconstrained image settings,
David Etter +3 more
openaire +1 more source
Synthetic data generation for optical character recognition (OCR) promises unlimited training data at zero annotation cost. With enough fonts and seed text, we should be able to generate data to train a model that approaches or exceeds the performance with real annotated data. Unfortunately, this is not always the reality. Unconstrained image settings,
David Etter +3 more
openaire +1 more source
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
We present a document-specific OCR system and apply it to a corpus of fixed business letters. Unsupervised classification of the segmented character bitmaps on each page, using a "clump" metric, typically yields several hundred clusters with highly skewed populations.
Tin Kam Ho, George Nagy
openaire +1 more source
We present a document-specific OCR system and apply it to a corpus of fixed business letters. Unsupervised classification of the segmented character bitmaps on each page, using a "clump" metric, typically yields several hundred clusters with highly skewed populations.
Tin Kam Ho, George Nagy
openaire +1 more source
1988
This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
openaire +1 more source
This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.
openaire +1 more source
Sensor Review, 1993
For many years the philosophy of machines reading data from paper into computers, known as Optical Character Recognition or OCR, has been regarded by the unenlightened as a dream which will be wonderful when it happens. OCR has, unfortunately, been an insufficiently publicized reality for 25 years.
openaire +1 more source
For many years the philosophy of machines reading data from paper into computers, known as Optical Character Recognition or OCR, has been regarded by the unenlightened as a dream which will be wonderful when it happens. OCR has, unfortunately, been an insufficiently publicized reality for 25 years.
openaire +1 more source
Using OpenMP Directives to Accelerate OCR with Tesseract OCR
2021This paper is devoted the methods of speed-up optical character recognition which is used for transformation of the scanned image to the edited text format. The example of application of these methods are the systems of the automated search of fragment of text in the catalogues of electronic libraries, where as an entrance format both the entered
Barkovska, Olesia, Ryzhov, Ihor
openaire +1 more source