• DocumentCode
    672228
  • Title

    Circuit recognition using netlist

  • Author

    Sridar, Srikanth ; Subramanian, Kartick

  • Author_Institution
    Dept. of Electron. & Commun., Meenakshi Sundararajan Eng. Coll., Chennai, India
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    The existing software for circuit design and simulation require the user to be skilled either with good programming ability or `pick and paste´ model. To remove this barrier of programming knowledge, we propose a simulation model where a circuit drawn on a paper will be simulated. The circuit drawn on the paper will be fed to the computer using a scanner/camera. The image is de-noised and the nodes in the circuit are detected. All the characters, numbers and symbols alone are stored in a separate image which is used for optical character recognition. After node detection and character recognition, a netlist is compiled which is used for simulation. Applications of this simulation model include smart teaching systems, tablet app and with more research, a great deal of components including transistors and ICs can be simulated.
  • Keywords
    circuit CAD; circuit simulation; image denoising; image sensors; optical character recognition; IC; Netlist; circuit design software; circuit recognition; circuit simulation software; denoised image; node detection; optical character recognition; pick and paste model; programming ability; programming knowledge; scanner-camera; smart teaching systems; tablet app; transistors; Capacitors; Character recognition; Conferences; Integrated circuit modeling; RLC circuits; Resistors; Wires; Circuit Recognition; Circuit Simulation; Netlist; Pseudonodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
  • Conference_Location
    Shimla
  • Print_ISBN
    978-1-4673-6099-9
  • Type

    conf

  • DOI
    10.1109/ICIIP.2013.6707591
  • Filename
    6707591