A multi-agent system for hand-drawn diagram recognition

被引:0
|
作者
Casella, Giovanni [1 ,2 ]
Deufemia, Vincenzo [2 ]
Mascardil, Viviana [1 ]
机构
[1] Univ Genoa, Dipartimento Informat & Sci Informaz, Via Dodecaneso 35, I-16146 Genoa, Italy
[2] Univ Salerno, Dipartimento Matemat & Informat, I-84084 Fisciano, SA, Italy
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we present AgentSketch, an agent-based system for on-line recognition of hand-drawn diagrams. Agents are used for managing the activity of symbol recognizers and for providing efficient interpretations of the sketch to the user thanks to the use of contextual information for ambiguity resolution. The system can be applied to a variety of domains by providing recognizers of the symbols in that domain. A first experimental evaluation has been performed on the domain of UML use case diagrams to verify the effectiveness of the proposed approach.
引用
收藏
页码:739 / +
页数:2
相关论文
共 50 条
  • [11] REAL-TIME RECOGNITION OF HAND-DRAWN CHARACTERS
    TEITELMAN, W
    COMMUNICATIONS OF THE ACM, 1964, 7 (10) : 569 - 569
  • [12] A multi-layer parsing strategy for on-line recognition of hand-drawn diagrams
    Costagliola, Gennaro
    Deufemia, Vincenzo
    Risi, Michele
    IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, 2006, : 103 - +
  • [13] Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams
    Moetesum, Momina
    Younus, Syed Waciar
    Warsi, Muhammad Ali
    Siddiqi, Imran
    EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2018, 4 (16) : 1 - 6
  • [14] Features of Hand-Drawn Spirals for Recognition of Parkinson's Disease
    Wrobel, Krzysztof
    Doroz, Rafal
    Porwik, Piotr
    Orczyk, Tomasz
    Cavalcante, Agnieszka Betkowska
    Grajzer, Monika
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2022, PT II, 2022, 13758 : 458 - 469
  • [15] Analysis and Recognition of Hand-Drawn Images with Effective Data Handling
    Gupta, Mohit
    Mehndiratta, Pulkit
    BIG DATA ANALYTICS (BDA 2019), 2019, 11932 : 389 - 407
  • [16] Contextual recognition of hand-drawn diagrams with conditional random fields
    Szummer, M
    Qi, Y
    NINTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION, PROCEEDINGS, 2004, : 32 - 37
  • [17] A fuzzy matching algorithm for hand-drawn graphic primitives recognition
    Gong, X
    Pei, JH
    Xie, WX
    IMAGE MATCHING AND ANALYSIS, 2001, 4552 : 274 - 279
  • [18] Hand-Drawn Shape Recognition Using the SVM'ed Kernel
    Refaat, Khaled S.
    Atiya, Amir F.
    ARTIFICIAL NEURAL NETWORKS - ICANN 2009, PT II, 2009, 5769 : 275 - 284
  • [19] Hand-Drawn Emoji Recognition using Convolutional Neural Network
    Akter, Mehenika
    Hossain, Mohammad Shahadat
    Andersson, Karl
    PROCEEDINGS OF 2020 6TH IEEE INTERNATIONAL WOMEN IN ENGINEERING (WIE) CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE 2020), 2020, : 159 - 164
  • [20] A Hand-Drawn Conference Review
    Hollands, Charlotte
    AMERICAN ANTHROPOLOGIST, 2018, 120 (02) : 348 - 352