Design and implementation of a card reader based on build-in camera

Luo, Xiangfeng; Li, Jun; Zhen, Li-Xin

doi:10.1109/icpr.2004.1334142

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Similar to the system devised by Xi-Ping Luo [6] et al the main work flow of ours could be illustrated in figure [1]. Perspective correction is inserted after the four corners are extracted from the image.…”

Section: System Descriptionmentioning

confidence: 97%

An Improved Design and Implementation of Chinese Name Card Recognition System on Mobile Devices

Cui

2006

2006 International Conference on Intelligent Information Hiding and Multimedia

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Since name card recognition based on built-in cameras has become popular people now pay more attention to the robustness and effectiveness of the system. In spite of the maturity of OCR some bottlenecks in lower processing level such as spatial correction and segmentation weak its power. Traditional models treating the card image as an orthogonal projection with only affine distortion are too simple and thus perspective correction is needed to enhance the recognition rate.Due to the complexity of the layout of Chinese name cards text segmentation also attaches strong significance to the performance. In this paper a improved name card recognition system would be devised and implemented. Two new algorithms for perspective correction and text segmentation would be proposed respectively.

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Section: System Descriptionmentioning

confidence: 97%

An Improved Design and Implementation of Chinese Name Card Recognition System on Mobile Devices

Cui

2006

2006 International Conference on Intelligent Information Hiding and Multimedia

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“…Again, all the processing is implemented at the back end server with no implementation on the mobile device. Nowadays some mobile phones are equipped with business card reader application which facilitates users to store contact information from business cards directly on their mobile phones [26].…”

Section: Related Workmentioning

confidence: 99%

OCRdroid: A Framework to Digitize Text Using Mobile Phones

Zhang

Joshi²,

Kadmawala³

et al. 2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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 realworld OCR-based mobile applications.

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Mobile Challenges for Embedded Computer Vision

Chai

2009

Embedded Computer Vision

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Design and implementation of a card reader based on build-in camera

Cited by 3 publications

References 7 publications

An Improved Design and Implementation of Chinese Name Card Recognition System on Mobile Devices

An Improved Design and Implementation of Chinese Name Card Recognition System on Mobile Devices

OCRdroid: A Framework to Digitize Text Using Mobile Phones

Mobile Challenges for Embedded Computer Vision

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