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US Patent 9613258 Image quality assessment

Patent 9613258 was granted and assigned to iOmniscient Pty Ltd. on April, 2017 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Current Assignee
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iOmniscient Pty Ltd.
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
96132581
Patent Inventor Names
Shaokang Chen1
Yong Kang Wong1
Date of Patent
April 4, 2017
1
Patent Application Number
140002441
Date Filed
February 20, 2012
1
Patent Citations Received
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US Patent 12130882 Browser-based mobile image capture
2
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US Patent 12008543 Systems and methods for enrollment and identity management using mobile imaging
3
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US Patent 12008827 Systems and methods for developing and verifying image processing standards for mobile deposit
4
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US Patent 12014350 Systems and methods for mobile image capture and processing of documents
5
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US Patent 12020496 Systems and methods for mobile automated clearing house enrollment
6
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US Patent 12125302 Systems and methods for classifying payment documents during mobile image processing
7
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US Patent 11688202 Facial enrollment and recognition system
8
Patent Primary Examiner
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Sumati Lefkowitz
1
Patent abstract

This disclosure concerns image quality assessment. In particular, there is described a computer implemented method, software, and computer for assessing the quality of an image. For example but not limited to, quality of the image of a face indicates the suitability of the image for use in face recognition. The invention comprises determining (112) a similarity of features of two or more sub-images of the image (608) to a model (412) of the object which is based on multiple training images (612) of multiple different objects of that type. The model (412) is comprised of sub-models (406) and each sub-model (406) corresponds to a sub-image of the image (608). Determining similarity is based on the similarity of features of each sub-image to features modelled by the corresponding sub-model. It is an advantage that no input parameters are required for quality assessment since the quality of the image can be determined from only the similarity between the image and the same, therefore single generic, model.

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