OCR for printed Kannada text to Machine editable format using Database approach

被引：0
|
作者：
Sagar, B. M. [1 ]
Shobha, G. [2 ]
Ramakanth, P. Kumar [2 ]
机构：
[1] Visvesvaraya Technol Univ, RVCE, Informat Sci, Bangalore 59, Karnataka, India
[2] Visvesvaraya Technol Univ, RVCE, Comp Sci, Bangalore 59, Karnataka, India
来源：
PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATION AND INFORMATION | 2008年
关键词：
Optical Character Recognition; segmentation; Kannada scripts;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes an Optical Character Recognition (OCR) system for printed text documents in Kannada, a South Indian language. The proposed OCR system for the recognition of printed Kannada text, which can handle all types of Kannada characters. The system first extracts linage of Kannada scripts, then from the image to line segmentation then segments the words into sub-character level pieces. For character recognition we have used database approach. The level of accuracy reached to 100%.
引用
收藏
页码：322 / +
页数：2
相关论文
共 50 条
  • [1] Machine recognition of printed Kannada text
    Kumar, BV
    Ramakrishnan, AG
    [J]. DOCUMENT ANALYSIS SYSTEM V, PROCEEDINGS, 2002, 2423 : 37 - 48
  • [2] Printed Text Image Database for Sindhi OCR
    Hakro, Dil Nawaz
    Talib, Abdullah Zawawi
    [J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2016, 15 (04)
  • [3] An OCR system for printed Kannada text using Two-stage Multi-network classification approach employing Wavelet features
    Kunte, R. Sanjeev
    Samuel, R. D. Sudhakar
    [J]. ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL II, PROCEEDINGS, 2007, : 349 - +
  • [4] Determination of Optimal Features Database for OCR of Printed Telugu Text
    Lakshmi, C. Vasantha
    Singh, Sarika
    Patvardhan, C.
    [J]. PROCEEDINGS OF THE 2015 39TH NATIONAL SYSTEMS CONFERENCE (NSC), 2015,
  • [5] Handwritten and Machine Printed Text Separation from Kannada Document Images
    Pardeshi, Rajmohan
    Hangarge, Mallikarjun
    Doddamani, Srikanth
    Santosh, K. C.
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16), 2016,
  • [6] Improving Kannada OCR Using a Stroke-Based Approach
    Arun, Edupuganti
    Vinith, J.
    Pattar, Chakith
    George, Koshy
    [J]. PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 1611 - 1615
  • [7] Radial basis function and subspace approach for printed Kannada text recognition
    Vijaykumar, B
    Ramakrishnan, AG
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION, 2004, : 321 - 324
  • [8] A novel approach for improving recognition accuracies in OCR of printed Telugu text
    Lakshmi, CV
    Patvardhan, C
    Prasad, M
    [J]. 2004 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING & COMMUNICATIONS (SPCOM), 2004, : 255 - 259
  • [9] A font and size-independent OCR system for printed Kannada documents using support vector machines
    T. V. Ashwin
    P. S. Sastry
    [J]. Sadhana, 2002, 27 : 35 - 58
  • [10] A font and size-independent OCR system for printed Kannada documents using support vector machines
    Ashwin, T.V.
    Sastry, P.S.
    [J]. Sadhana - Academy Proceedings in Engineering Sciences, 2002, 27 (01) : 35 - 58
12345