Mobile Computing, Applications, and Services. First International ICST Conference, MobiCASE 2009, San Diego, CA, USA, October 26-29, 2009, Revised Selected Papers

Research Article

OCRdroid: A Framework to Digitize Text Using Mobile Phones

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  • @INPROCEEDINGS{10.1007/978-3-642-12607-9_18,
        author={Mi Zhang and Anand Joshi and Ritesh Kadmawala and Karthik Dantu and Sameera Poduri and Gaurav Sukhatme},
        title={OCRdroid: A Framework to Digitize Text Using Mobile Phones},
        proceedings={Mobile Computing, Applications, and Services. First International ICST Conference, MobiCASE 2009, San Diego, CA, USA, October 26-29, 2009, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-12607-9_18}
    }
    
  • Mi Zhang
    Anand Joshi
    Ritesh Kadmawala
    Karthik Dantu
    Sameera Poduri
    Gaurav Sukhatme
    Year: 2012
    OCRdroid: A Framework to Digitize Text Using Mobile Phones
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-12607-9_18
Mi Zhang1,*, Anand Joshi2,*, Ritesh Kadmawala2,*, Karthik Dantu2,*, Sameera Poduri2,*, Gaurav Sukhatme,*
  • 1: University of Southern California
  • 2: Computer Science Department
*Contact email: mizhang@usc.edu, ananddjo@usc.edu, kadmawal@usc.edu, dantu@usc.edu, sameera@usc.edu, gaurav@usc.edu

Abstract

As demand grows for mobile phone applications, research in optical character recognition, a technology well developed for scanned documents, is shifting focus to the recognition of text embedded in digital photographs. In this paper, we present OCRdroid, a generic framework for developing OCR-based applications on mobile phones. OCRdroid combines a light-weight image preprocessing suite installed inside the mobile phone and an OCR engine connected to a backend server. We demonstrate the power and functionality of this framework by implementing two applications called PocketPal and PocketReader based on OCRdroid on HTC Android G1 mobile phone. Initial evaluations of these pilot experiments demonstrate the potential of using OCRdroid framework for real-world OCR-based mobile applications.