Search Results for author:
Found 8 papers, 1 papers with code
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
Nevertheless, existing optimizers are still unable to exploit the optimization curvature information efficiently.
Direct Processing of Document Images in Compressed Domain
The different operations demonstrated are feature extraction; text-line, word and character segmentation; document block segmentation; and font size detection, all carried out in the compressed version of the document.
Entropy Computation of Document Images in Run-Length Compressed Domain
Compression of documents, images, audios and videos have been traditionally practiced to increase the efficiency of data storage and transfer.
Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents
In this research, we propose to extract essential features such as projection profile, run-histogram and entropy for text document analysis directly from run-length compressed text-documents.
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents
Segmentation of a text-document into lines, words and characters, which is considered to be the crucial pre-processing stage in Optical Character Recognition (OCR) is traditionally carried out on uncompressed documents, although most of the documents in real life are available in compressed form, for the reasons such as transmission and storage efficiency.
Optical Character Recognition
Optical Character Recognition (OCR)
+1
Automatic Detection of Font Size Straight from Run Length Compressed Text Documents
In the proposed model, the given mixed-case text documents of different font size are segmented into compressed text lines and the features extracted such as line height and ascender height are used to capture the pattern of font size in the form of a regression line, using which the automatic detection of font size is done during the recognition stage.
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block
Extracting a block of interest referred to as segmenting a specified block in an image and studying its characteristics is of general research interest, and could be a challenging if such a segmentation task has to be carried out directly in a compressed image.
Video Text Localization using Wavelet and Shearlet Transforms
Then K-means clustering is used for obtaining text pixels from the Standard Deviation (SD) of combined coefficient of wavelets and shearlets as well as the union of wavelets and shearlets features.
