標(biāo)題: Titlebook: ; [打印本頁] 作者: 神像之光環(huán) 時間: 2025-3-21 17:10
書目名稱Guide to OCR for Indic Scripts影響因子(影響力)
書目名稱Guide to OCR for Indic Scripts影響因子(影響力)學(xué)科排名
書目名稱Guide to OCR for Indic Scripts網(wǎng)絡(luò)公開度
書目名稱Guide to OCR for Indic Scripts網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Guide to OCR for Indic Scripts被引頻次
書目名稱Guide to OCR for Indic Scripts被引頻次學(xué)科排名
書目名稱Guide to OCR for Indic Scripts年度引用
書目名稱Guide to OCR for Indic Scripts年度引用學(xué)科排名
書目名稱Guide to OCR for Indic Scripts讀者反饋
書目名稱Guide to OCR for Indic Scripts讀者反饋學(xué)科排名
作者: 滔滔不絕的人 時間: 2025-3-21 20:31
Software Project Effort Estimation networks. Results of experiments wherein various combinations of feature extraction methods with classifiers are also presented. We find that general regression neural network with wavelets feature gives best results with significant time saving in training. Since Indic scripts require syllabic rec作者: 表兩個 時間: 2025-3-22 01:09 作者: congenial 時間: 2025-3-22 07:09 作者: medieval 時間: 2025-3-22 09:38
Michael Meyer,Astrid Dehnel,Elmar Fichtl background of a gray-scale image using piece-wise linear and nonlinear models. Normalization algorithms are used on the color channels of the palm leaf image to obtain an enhanced gray-scale image. Experimental results show significant improvement in readability. An adaptive local connectivity map 作者: 壁畫 時間: 2025-3-22 14:17 作者: 壁畫 時間: 2025-3-22 18:43
A Complete Machine-Printed Gurmukhi OCR Systemukhi script and discusses potential solutions. A multi-font Gurmukhi OCR for printed text with an accuracy rate exceeding 96% at the character level is presented. A combination of local and global structural features is used for the feature extraction process, aimed at capturing the geometrical and 作者: 猜忌 時間: 2025-3-22 22:05 作者: NAIVE 時間: 2025-3-23 02:19 作者: 蕨類 時間: 2025-3-23 09:19
Online Handwriting Recognition for Indic Scriptsg online handwriting in Indic scripts and provide an overview of the state of the art for isolated character and word recognition. We then present in brief some of the promising applications, starting with handwriting-based text input systems (IMEs) that have been built for entering Indic scripts. I作者: guardianship 時間: 2025-3-23 13:05 作者: 食料 時間: 2025-3-23 14:47 作者: Oscillate 時間: 2025-3-23 19:00
Building Data Sets for Indian Language OCR Researchges. In this chapter, we present our activities in this direction. Our corpus consists of more than 600000 document images in Indian scripts. A parallel text is aligned to the images to obtain word- and symbol-level annotated data sets. We describe the process we follow and the status of the activities.作者: 商業(yè)上 時間: 2025-3-23 23:15 作者: Pudendal-Nerve 時間: 2025-3-24 05:41 作者: Libido 時間: 2025-3-24 07:47
https://doi.org/10.1007/978-3-322-94710-9te on a fair test set consisting of scanned images (scans of printed versions of the synthetic images) was 1.40% while the character error rate on a fair test set of fax images (scans of printed and faxed versions of the synthetic images) was 8.7%.作者: urethritis 時間: 2025-3-24 14:19 作者: 比賽用背帶 時間: 2025-3-24 15:58
Scenario-Based Reading Techniques,iple 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.作者: 不再流行 時間: 2025-3-24 21:39
A Complete OCR System for Tamil Magazine Documentsd from 94 to 97% for this type of font. The grouping of blocks into logical units and the determination of reading order within each logical unit helped us in reconstructing automatically the document image in an editable format.作者: 緊張過度 時間: 2025-3-25 02:30 作者: Verify 時間: 2025-3-25 04:48
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.作者: 百靈鳥 時間: 2025-3-25 08:54
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.作者: 步履蹣跚 時間: 2025-3-25 14:36
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.作者: anaphylaxis 時間: 2025-3-25 19:50
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.作者: inscribe 時間: 2025-3-25 23:31
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.作者: GOUGE 時間: 2025-3-26 03:59
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.作者: Biomarker 時間: 2025-3-26 07:29 作者: commodity 時間: 2025-3-26 11:17 作者: 牽連 時間: 2025-3-26 13:31
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.作者: 歪曲道理 時間: 2025-3-26 17:57
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.作者: pulmonary 時間: 2025-3-26 21:52 作者: coddle 時間: 2025-3-27 03:21 作者: Deadpan 時間: 2025-3-27 08:08 作者: 異端邪說下 時間: 2025-3-27 12:32 作者: 馬具 時間: 2025-3-27 15:36
Building Data Sets for Indian Language OCR Researchges. In this chapter, we present our activities in this direction. Our corpus consists of more than 600000 document images in Indian scripts. A parallel text is aligned to the images to obtain word- and symbol-level annotated data sets. We describe the process we follow and the status of the activit作者: 透明 時間: 2025-3-27 19:55
On OCR of Major Indian Scripts: Bangla and Devanagaring structural similarities, these two scripts can be tackled under a single framework. The proposed approach starts with character and symbol segmentation and employs three recognizers for symbols of different zones. For the middle zone, a two-stage approach with group and individual symbol recogniz作者: Junction 時間: 2025-3-27 22:30
A Complete Machine-Printed Gurmukhi OCR Systemis still in its infancy. Complete OCR systems have recently been developed for Devanagari and Bangla scripts. However, research in the field of recognition of Gurmukhi script faces major problems mainly due to the unique characteristics of the script such as connectivity of characters on a headline,作者: 過份 時間: 2025-3-28 05:08 作者: lavish 時間: 2025-3-28 10:10
Design of a Bilingual Kannada–English OCRr presents an approach towards designing a bilingual OCR that can process documents containing both English and Kannada scripts which are used by the Kannada language of the southern Indian state of Karnataka. We report an efficient script identification scheme for discriminating Kannada from Roman 作者: 壓倒 時間: 2025-3-28 13:17
Recognition of Malayalam Documentsthis language will be of immense help in a spectrum of applications ranging from data entry to reading aids. The Malayalam script has a large number of similar characters making the recognition problem challenging. In this chapter, we present our approach for recognition of Malayalam documents, both作者: hemophilia 時間: 2025-3-28 15:26 作者: Hyperalgesia 時間: 2025-3-28 19:24 作者: congenial 時間: 2025-3-29 01:36
The BBN Byblos Hindi OCR Systemm to Arabic, English, Chinese, Pashto, and Japanese. In this chapter, we report on our recent effort in training the system to perform recognition of Hindi (Devanagari) documents. The initial experiments reported in this chapter were performed using a corpus of synthetic (computer-generated) documen作者: 遵循的規(guī)范 時間: 2025-3-29 03:46 作者: DNR215 時間: 2025-3-29 07:52
Online Handwriting Recognition for Indic Scriptsechnology holds significant promise for Indic scripts, given that the Indic languages are used by a sixth of the world’s population, and the greater ease of use of handwriting-based text input for these scripts compared to keyboard-based methods. Even though the recognition of handwritten Devanagari作者: 含糊其辭 時間: 2025-3-29 11:58 作者: abduction 時間: 2025-3-29 17:36 作者: Aqueous-Humor 時間: 2025-3-29 22:05
GFG-Based Compression and Retrieval of Document Images in Indian Scriptsection using techniques for word-image-based search. The compression and retrieval paradigm we propose is applicable even for those Indian scripts for which reliable OCR technology is not available. Our technique for word spotting is based on exploiting the geometrical features of the word image. Th作者: 饒舌的人 時間: 2025-3-30 03:39
Word Spotting for Indic Documents to Facilitate Retrievalarch have emerged as key research areas. However, most of the current work in these areas is limited to English and a few oriental languages. The lack of efficient solutions for Indic scripts has hampered information extraction from a large body of documents of cultural and historical importance. Th作者: Lignans 時間: 2025-3-30 06:16 作者: 灰姑娘 時間: 2025-3-30 09:29
Hans-Bernd Kittlaus,Samuel A. Frickerges. In this chapter, we present our activities in this direction. Our corpus consists of more than 600000 document images in Indian scripts. A parallel text is aligned to the images to obtain word- and symbol-level annotated data sets. We describe the process we follow and the status of the activit作者: 時代 時間: 2025-3-30 13:43
The Elements of Software Pricing,ng structural similarities, these two scripts can be tackled under a single framework. The proposed approach starts with character and symbol segmentation and employs three recognizers for symbols of different zones. For the middle zone, a two-stage approach with group and individual symbol recogniz作者: Prognosis 時間: 2025-3-30 20:07 作者: 遣返回國 時間: 2025-3-30 21:47
Software Project Effort Estimationective it needs a different treatment due to some of its peculiarities. Research on Gujarati OCR is a recent development as compared to OCR research on many other Indic scripts. Here, in this chapter we present a detailed account of the state of the art of Gujarati document analysis and character re作者: Inculcate 時間: 2025-3-31 03:09
https://doi.org/10.1007/978-1-4842-5025-9r presents an approach towards designing a bilingual OCR that can process documents containing both English and Kannada scripts which are used by the Kannada language of the southern Indian state of Karnataka. We report an efficient script identification scheme for discriminating Kannada from Roman
