메뉴 건너뛰기




Volumn 1, Issue , 2013, Pages 737-741

Text recognition in natural images using multiclass hough forests

Author keywords

Feature selection; Hough forests; Natural images; Text detection and recognition

Indexed keywords

BINARY FEATURES; HOUGH FORESTS; NATURAL IMAGES; OBJECT DETECTION; TEXT DETECTION; TEXT RECOGNITION; UNSOLVED PROBLEMS; WORD RECOGNITION;

EID: 84878240310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (14)
  • 7
    • 0346750538 scopus 로고    scopus 로고
    • Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
    • Kim, K. I., Jung, K., and Kim, J. H. (2003). Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(12):1631-1639.
    • (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.25 , Issue.12 , pp. 1631-1639
    • Kim, K.I.1    Jung, K.2    Kim, J.H.3
  • 11
    • 79952525611 scopus 로고    scopus 로고
    • A method for text localization and recognition in real-world images
    • Neumann, L. and Matas, J. (2011). A method for text localization and recognition in real-world images. In Proc. of the Asian Conference on Computer Vision, volume 3, pages 770-783.
    • (2011) Proc. of the Asian Conference on Computer Vision , vol.3 , pp. 770-783
    • Neumann, L.1    Matas, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.