Titlebook: ;

Verify

GFG-Based Compression and Retrieval of Document Images in Indian Scriptsfective retrieval. The query is specified as a set of word images and the documents that best match with the query representation in the latent semantic space are retrieved. The retrieval paradigm is further enhanced to the conceptual level with the use of document image content-domain knowledge specified in the form of an ontology.

百靈鳥

Word Spotting for Indic Documents to Facilitate Retrievaliple scripts. This requires intelligent solutions which scale across different scripts. We present a script-independent keyword spotting approach for this purpose. Experimental results illustrate the efficacy of our methods.

步履蹣跚

https://doi.org/10.1007/978-1-4842-5025-9Kannada language of the southern Indian state of Karnataka. We report an efficient script identification scheme for discriminating Kannada from Roman script. We also propose a novel segmentation and recognition scheme for Kannada, which could possibly be applied to many other Indian languages as well.

anaphylaxis

https://doi.org/10.1007/978-3-642-55035-5f similar characters making the recognition problem challenging. In this chapter, we present our approach for recognition of Malayalam documents, both printed and handwritten. Classification results as well as ongoing activities are presented.

inscribe

The Elements of Software Pricing,ts has also been addressed. A post-recognition error detection approach based on spell-checker principles has been proposed mainly to correct an error in a single position in a recognized word string. Encouraging results have been obtained on multi-font Bangla and Devanagari documents.

GOUGE

Mathematics and Its Applicationstand the spoken Urdu. In this chapter we present an overview of written Urdu. Prior research in handwritten Urdu OCR is very limited. We present (perhaps) the first system for recognizing handwritten Urdu words. On a data set of about 1300 handwritten words, we achieved an accuracy of 70% for the top choice, and 82% for the top three choices.

Biomarker

commodity

牽連

On OCR of Major Indian Scripts: Bangla and Devanagarits has also been addressed. A post-recognition error detection approach based on spell-checker principles has been proposed mainly to correct an error in a single position in a recognized word string. Encouraging results have been obtained on multi-font Bangla and Devanagari documents.

歪曲道理

Experiments on Urdu Text Recognitiontand the spoken Urdu. In this chapter we present an overview of written Urdu. Prior research in handwritten Urdu OCR is very limited. We present (perhaps) the first system for recognizing handwritten Urdu words. On a data set of about 1300 handwritten words, we achieved an accuracy of 70% for the top choice, and 82% for the top three choices.