Automatic blur detection in mobile captured document images: Towards quality check in mobile based document imaging applications

Nunnagoppula, Ganesh; Kumar, Deepak; Harikrishna, G. N.; Krishna, P. Radha; Vesdapunt, Noranart

doi:10.1109/iciip.2013.6707602

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Inconsistent lighting could present problems for the detection and location of the document on the photo, as well as for document layout analysis, text recognition, and other components of the automated document analysis system [31,59]. Another serious problem with document images captured using cameras are the possibility of them being out of focus [60,61], or containing motion blur [62].…”

Section: Photographsmentioning

confidence: 99%

Towards a unified framework for identity documents analysis and recognition

Bulatov¹,

Bezmaternykh²,

Nikolaev

et al. 2022

Computer Optics

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Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognition from a wide variety of image sources, such as scans, photos, or video frames, as well as in a variety of virtually uncontrolled capturing conditions. In this paper, we describe the scope and context of identity document analysis and recognition problem and its challenges; analyze the existing works on implementing ID document recognition systems; and set a task to construct a unified framework for identity document recognition, which would be applicable for different types of image sources and capturing conditions, as well as scalable enough to support large number of identity document types. The aim of the presented framework is to serve as a basis for developing new methods and algorithms for ID document recognition, as well as for far more heavy challenges of identity document forensics, fully automated personal authentication and fraud prevention.

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Section: Photographsmentioning

confidence: 99%

Towards a unified framework for identity documents analysis and recognition

Bulatov¹,

Bezmaternykh²,

Nikolaev

et al. 2022

Computer Optics

View full text Add to dashboard Cite

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No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices

Vasconcelos

Rosado

2014

Lecture Notes in Computer Science

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A Document Imaging Technique for Implementing Electronic Loan Approval Process

Manikandan

Celin

Gayathri

2015

IJEEI

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The image processing is one of the leading technologies of computer applications. Image processing is a type of signal processing, the input for image processor is an image or video frame and the output will be an image or subset of image [1]. Computer graphics and computer vision process uses an image processing techniques. Image processing systems are used in various environments like medical fields, computer-aided design (CAD), research fields, crime investigation fields and military fields. In this paper, we proposed a document image processing technique, for establishing electronic loan approval process (E-LAP) [2]. Loan approval process has been tedious process, the E-LAP system attempts to reduce the complexity of loan approval process. Customers have to login to fill the loan application form online with all details and submit the form. The loan department then processes the submitted form and then sends an acknowledgement mail via the E-LAP to the requested customer with the details about list of documents required for the loan approval process [3]. The approaching customer can upload the scanned copies of all required documents. All this interaction between customer and bank take place using an E-LAP system.

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Automatic blur detection in mobile captured document images: Towards quality check in mobile based document imaging applications

Cited by 3 publications

References 6 publications

Towards a unified framework for identity documents analysis and recognition

Towards a unified framework for identity documents analysis and recognition

No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices

A Document Imaging Technique for Implementing Electronic Loan Approval Process

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