Recent advances in graph-based pattern recognition with applications in document analysis
Graphs are a powerful and popular representation formalism in pattern recognition.
Particularly in the field of document analysis they have found widespread application. From …
Particularly in the field of document analysis they have found widespread application. From …
Forty years of research in character and document recognition—an industrial perspective
H Fujisawa - Pattern Recognition, 2008 - Elsevier
This paper presents an overview on the last 40-years of technical advances in the field of
character and document recognition. Representative developments in each decade are …
character and document recognition. Representative developments in each decade are …
[KİTAP][B] Optical character recognition systems
A Chaudhuri, K Mandaviya, P Badelia, SK Ghosh… - 2017 - Springer
Optical character recognition (OCR) is process of classification of optical patterns contained
in a digital image. The character recognition is achieved through segmentation, feature …
in a digital image. The character recognition is achieved through segmentation, feature …
Learning spatial-semantic context with fully convolutional recurrent network for online handwritten chinese text recognition
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it
involves a large-scale character set, ambiguous segmentation, and variable-length input …
involves a large-scale character set, ambiguous segmentation, and variable-length input …
Handwritten character recognition by alternately trained relaxation convolutional neural network
Deep learning methods have recently achieved impressive performance in the area of visual
recognition and speech recognition. In this paper, we propose a handwriting recognition …
recognition and speech recognition. In this paper, we propose a handwriting recognition …
Handwritten Chinese text recognition by integrating multiple contexts
This paper presents an effective approach for the offline recognition of unconstrained
handwritten Chinese texts. Under the general integrated segmentation-and-recognition …
handwritten Chinese texts. Under the general integrated segmentation-and-recognition …
Ocr post-processing error correction algorithm using google online spelling suggestion
Y Bassil, M Alwani - arxiv preprint arxiv:1204.0191, 2012 - arxiv.org
With the advent of digital optical scanners, a lot of paper-based books, textbooks,
magazines, articles, and documents are being transformed into an electronic version that …
magazines, articles, and documents are being transformed into an electronic version that …
[KİTAP][B] Real life applications of soft computing
Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …
valuable in the development of highly scalable systems. Although many resources on the …
A review of research on Devnagari character recognition
English Character Recognition (CR) has been extensively studied in the last half century
and progressed to a level, sufficient to produce technology driven applications. But same is …
and progressed to a level, sufficient to produce technology driven applications. But same is …
A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters
CL Liu, CY Suen - Pattern Recognition, 2009 - Elsevier
The recognition of Indian and Arabic handwriting is drawing increasing attention in recent
years. To test the promise of existing handwritten numeral recognition methods and provide …
years. To test the promise of existing handwritten numeral recognition methods and provide …