US 9,754,164 B2Granted

Systems and methods for classifying objects in digital images captured using mobile devices

AssigneeKofax, Inc.

InventorsAnthony Macciola, Jan W. Amtrup, Jiyong Ma, Alexander Shustorovich, Christopher W. Thrasher, Stephen Michael Thompson

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Abstract

Systems and methods for mobile image data capture and processing are disclosed. The techniques encompass receipt or capture of digital image data, detecting an object such as a document depicted in a digital image corresponding to the digital image data, processing the digital image to improve image quality, classifying the object from the processed image data, and extracting useful information from the object. Processing may improve image quality by correcting artifacts such as distortion, skew, blur, shadows, etc. common to digital images captured using mobile devices. Classification is based on identifying unique features (and/or combinations thereof) within the image data and determining whether the identified features indicate the object belongs to a class of known objects having similar characteristics, or is unique to all known classes. Extraction is based in whole or in part on object classification. All operations may be performed using mobile technology exclusively.

Claims19

Dependent claims

A method, comprising:

receiving or capturing digital image data;
detecting an object depicted in a digital image represented by the digital image data, wherein detecting the object comprises defining a plurality of candidate edge points based on statistically significant differences between each respective candidate edge point and a background of the digital image;
processing the digital image to improve an image quality of at least the object;
determining an object classification based on the processed digital image;
building or determining an extraction model based at least in part on the object classification;
and
extracting, using the extraction model, information from one or more regions of interest within the digital image;
wherein each region of interest depicts one or more object features selected from:
text characters, symbols, photographs, and image characteristics;
and
wherein the information comprises one or more of:
an object feature color;
an object feature size;
an object feature dimensions;
an object feature shape;
an object feature texture;
an object feature brightness;
an object feature intensity in one or more color channels;
a position of one or more object features depicted in the digital image;
and
a positional relationship between one or more object features depicted in the digital image.

18 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/818,196Filed 4 Aug 2015 · continuation
Priority: 13 Mar 2013
Published: US 2015/0339526 A126 Nov 2015
Granted: 5 Sep 2017
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06V 30/418
Analysis of document content: document matching, e.g. of document images
G06T 7/11
Segmentation; Edge detection: region-based segmentation
G06V 30/40
Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition: document-oriented image-based pattern recognition
G06F 2218/08
Aspects of pattern recognition specially adapted for signal processing: feature extraction

Family

Application61/780,747Us provisional application · filed 13 Mar 2013
Application14/209,825Parent of this continuation · filed 13 Mar 2014
US 2015/0339526 A1Pre-grant publication · published 26 Nov 2015
US 9,311,531 B2Parent of this continuation
US 2014/0270536 A1Published application
US 9,754,164 B2This patent

From the US filing history. Foreign family members aren’t listed.