This is the generic class for apparatus and corresponding
methods for the automated analysis of an image or recognition of
a pattern*. Included herein are systems that transform
an image for the purpose of (a) enhancing its visual quality prior
to recognition, (b) locating and registering the image relative
to a sensor or stored prototype, or reducing the amount of image
data by discarding irrelevant data, and (c) measuring significant characteristics
of the image.
(1)
Note. Automated document pattern* analysis or verification,
which includes detection of alphanumerics, is classified in this class.
(2)
Note. To be classified herein, no actual recognition or identification
need be performed. It is sufficient that substantial digital image
processing, such as a coding, enhancement, or transformation process,
be performed on the image data for classification herein.
SECTION II - LINES WITH OTHER CLASSES AND WITHIN THIS CLASS
Pattern* analysis or verification limited to the
intrinsic properties of a document is classified elsewhere. Documents
that are analyzed or verified by information content, such as pattern*s
or alphanumeric characters, are classified in this class (382).
Document verification limited to a photocell system is classified
elsewhere. See References to Other Classes, below.
Alphanumeric characters and other pattern*s are to
be distinguished from coded indicia. Coded indicia are designed
specifically to facilitate reading by machine and are not intended
to be read by humans (e.g., the Universal Product Code on grocery
items). Reading or sensing of coded indicia which does not include
the recognition of any alphanumeric character or pattern* is
classified elsewhere. However, reading or sensing of pattern*s
or alphanumeric characters in combination with coded indicia is
classified in this class (382). Example: Reading a credit card
that contains a printed name plus a magnetic code is classified
in Class 235 if only the magnetic code is read. Otherwise, if both
the printed name and the magnetic code are read, classification
is herein.
The images analyzed and processed herein are images that are
representative of a "real" scene (such as images obtained by a camera,
scanner, or image detector), including obtained images of people,
places, and things, wherein the image represents the actual scene.
The presentation or generation of images that are (a) computer generated
or otherwise artificial, or (b) a combination of computer-generated
images and real images is properly classified elsewhere, including
for computer graphics and control of data presentation with creation
or manipulation of graphic objects or text performed by a computer
or processor, and operator interfaces. See References to Other
Classes, below.
The specific processing of television pictures and signals,
where a television system is an integral part of the system, is
properly classified elsewhere. See References to Other Classes,
below. When images generated by a television camera are processed,
and the television system is not an integral part of the overall
system, and the system is either disclosed or claimed in an environment
with substantial digital image processing or in a pattern* recognition* environment,
proper classification is herein.
For systems directed to the processing of a displayed image,
where the processing is directed to the altering of the display
image or of the display system itself, proper classification is
elsewhere. See References to Other Classes, below.
The testing or measuring of distances, areas, volumes, thicknesses,
or defects in objects is excluded from this class. However, where
the measurements of these parameters are either disclosed or claimed
in an environment with substantial digital image processing or in a
pattern* recognition* environment, classification
is in this class.
Image analysis* having specific and significantly claimed
utility in art environments external to this class is classified
in the appropriate external classes unless it is specifically excluded
therefrom. For example: radar, facsimile, color facsimile, coded
record sensor; and purely optical systems for image processing are
all excluded from this class. See references to Other Classes, below.
Subcombinations specific to image analysis* or pattern* recognition
are classified herein.
Measuring and Testing,
subclasses 488+ for mechanically determining speed and acceleration;
subclass 865.4 for mechanical signature verification instruments.
Radiant Energy,
subclasses 201.2+ for autofocus control of photocell circuits; subclass
223 for optical inspection of bottles using radiant energy; subclass
271 for subject matter that includes infrared of ultraviolet light
for pattern analysis or verification; subclasses 455+ for tomography;
subclasses 548, 559+, and 571+ for web and sheet
inspection using a photocell system; and subclass 556 for document
verification that is limited to a photocell system.
Communications: Electrical,
subclasses 5.2 through 5.74for intelligence comparison and authorization
or identification of personnel using communications system, particularly subclasses
5.52-5.53 and subclasses 5.82-5.84 for authorization or authentication,
respectively, by biometrics: subclasses 907-932.1 and 933-943
for specific vehicle detection and traffic control.
Computer Graphics Processing and Selective Visual
Display Systems,
subclasses 581 through 618for visual display of images; subclasses 649-659
for rotation of a displayed image; subclasses 660-671 for control
of the size of a displayed image; subclasses 419-427 for three-dimensional
presentation; 582-588 for determining and using texture in computer graphics
and display; and 619-689 for transformation of computer-generated
images.
Television, for specific processing of television pictures and signals,
where a television system is an integral part of the system,
subclass 62 and 63 for aids for the blind; subclasses 86-95 for
manufacturing where a television system is an integral part of the
system; subclasses 125-134 for flaw detection where a television
system is an integral part of the system; subclasses 135-142 for
object and scene measurements where a television system is an integral
part of the system; subclass 161 for object comparison where a television
system is an integral part of the system; subclasses 384.1-440.1
for bandwidth compression of analog television signals where a television
system is an integral part of the system; subclasses 571-721 for
image processing specific to television where a television system
is an integral part of the system.
Optics: Measuring and Testing,
subclass 3 for range finding and stereoscopic optical mea; subclasses
27 for optically determining velocity; subclass 71 for document
pattern* analysis or verification if visible light is used
(otherwise, classification is elsewhere); subclass 625 for optical
measuring of the physical properties of an object; subclasses 388
for optical configuration comparison; subclass 429 for inspection
of webs and threads; subclasses 237.1 for optical inspection for
flaws and imperfections; subclasses 39 for visible-light blood analyzing instruments.
Optics: Systems (Including Communications) and
Elements,
subclasses 1+ for holos:graphic systems; and subclasses 559+ for
optical Fourier transforms, convolution, and correlation.
Communications, Electrical: Acoustic Wave Systems
and Devices, appropriate subclasses for extraction and processing
of seismic samples and borehole samples.
Data Processing: Generic Control Systems or Specific
Applications,
subclasses 2 through 7for the use of plural processors in a computer generic
control system; and subclasses 95-212 for use of computers in manufacturing;
particularly subclasses 130-144 for computer controlled manufacturing
of textiles, and subclasses 245-264 for data processing of robot control
systems.
Data Processing: Measuring, Calibrating, or Testing,
subclass 37 for flow or defect detection by video imaging,
subclasses 66+ for electrical waveform analysis, and subclass
192 for noise removal or suppression in a measured video or image
signal.
Data Processing: Speech Signal Processing, Linguistics,
Language Translation and Audio Compression/Decompression,
subclasses 200+ for artificial intelligence systems that process speech
signals.
Electrical Computers: Arithmetic Processing and
Calculating,
subclasses 200+ for computer implemented conversion of data; subclasses 300+ and
819 for computer-implemented filters; subclasses 400+,
813+, and 820+ for transforms (Fourier, correlation,
convolution) implemented by computer.
Data Processing: Presentation Processing of Document,
Operator Interface Processing, and Screen Saver Display Processing,
subclasses 200 through 277for document processing performed by a computer
for presentation.
Electronic Funds Transfer,
subclasses 3 through 7and 25+ for identification of individuals,
such as with biometrics and bank cards, in a funds transfer system.
SECTION IV - GLOSSARY
IMAGE ANALYSIS*
For the purpose of this class, image analysis* is
defined as a systematic operation or series of operations performed
on data representative of an observed image with the aim of measuring
a characteristic of the image, detecting variations and structure
in the image, or transforming the image in a way that facilitates
its interpretation.
IMAGING SYSTEM*
For the purpose of this class, an imaging system is any means
which acquires an image. For example, it includes video cameras,
CCD arrays, scanners, etc.
PATTERN*
For the purpose of this class, a pattern* is
any form in an image having discernable characteristics that provide
a distinctive identity when contrasted with other forms. For example,
the character "A" has a distinctive identity when contrasted with
all other letters of the alphabet.
PATTERN* RECOGNITION*
For the purpose of this class, pattern* recognition* is defined
as any procedure for ascertaining differences, as well as similarities,
between pattern*s under observation and partitioning the
pattern*s into appropriate categories based on these perceived
differences and similarities; or any procedure for correctly identifying
a discrete pattern*, such as an alphanumeric character,
as a member of a predefined pattern* category.
PIXEL*
The smallest distinguishable and resolvable area in an image.
This subclass is indented under the class definition. Subject matter wherein the image analysis* is disclosed
as being designed for or utilized in a diverse art device, system,
process, or environment.
(1)
Note. For classification herein, there must be significant
claim recitation of an image analyzing system. Where the claims
recite significant structure of the external art environment, classification is
in the appropriate external art class.
(2)
Note. In view of the subject matter included herein, the
classification schedule for the diverse art or environment should
be considered for proper search.
Classifying, Separating, and Assorting Solids, appropriate subclasses for sorters operating on
various items such as mail, paper currency, and bank checks.
Communications: Directive Radio Wave Systems
and Devices (e.g., Radar, Radio Navigation), appropriate subclasses for object detection and positioning
using radar.
Facsimile and Static Presentation Processing,
subclasses 426.01 through 426.16for image analysis applied to the problem of data
compression in facsimile systems; and subclasses 500-540 for data
processing and compression in color facsimile systems.
This subclass is indented under subclass 100. Subject matter wherein the image is sensed from materials,
such as letters and packages, handled in a postal system.
(1)
Note. Included are locating of stamps and address blocks
on a mail piece as well as codes on a mail piece that are outside
of the address block and the reading thereof.
This subclass is indented under subclass 101. Subject matter wherein the image sensing is limited specifically
to finding and reading a series of numbers that indicate the general location
where the mail piece is to be sent (e.g., a ZIP code or postal code).
This subclass is indented under subclass 100. Subject matter wherein an object is located, recognized,
or followed (tracked) by an imaging system*.
(1)
Note. The object may be either stationary or moving with
respect to the imaging system*. The types of objects include,
but are not limited to, planes, military vehicles, stars, and similar
pattern*s.
Communications: Directive Radio Wave Systems
and Devices (e.g., Radar, Radio Navigation), appropriate subclasses for object detection and positioning
using radar.
This subclass is indented under subclass 100. Subject matter wherein a conveyance that is, or can be,
manned is located, identified, or controlled by image analyzing
techniques.
(1)
Note. Included are: reading of tire pattern*s and
codes; control of the vehicle by movements of the operator being detected
by the imaging system*; and identification or recognition
of the vehicle by an imaging system*. The types of vehicles
include automobiles, buses, and trains or rail cars.
This subclass is indented under subclass 104. Subject matter including image sensing for specifically
finding and reading a series of alphanumerics from a plate on, or
affixed to, a conveyance such as an automobile.
This subclass is indented under subclass 100. Subject matter wherein the length or magnitude of a path
from a sensor or imaging system* to an object is determined.
This subclass is indented under subclass 100. Subject matter wherein the examined characteristics of an
imaged object include distribution of color and intensity on a surface
to give an appearance of texture, such as smooth, rough, shiny,
or dull.
(1)
Note. Included is determining a representation of the physical
structure of the surface.
Computer Graphics Processing and Selective Visual
Display Systems,
subclasses 582 through 588for determining and using texture in computer graphics
and display.
This subclass is indented under subclass 100. Subject matter wherein the analyzed image is a sample of
earth or rock.
(1)
Note. Included in this subclass are core samples and samples
from boreholes, as well as other geological samples. Features extracted
from the sample include those that define the form, structure, color,
and mineralogical composition of the sample.
Communications, Electrical: Acoustic Wave Systems
and Devices, appropriate subclasses for extraction and processing
of seismic samples and borehole samples.
This subclass is indented under subclass 100. Subject matter wherein the image analysis* is designed
for, or used in, the inspection or production of textiles or apparel.
(1)
Note. Included in this subclass is the inspection or examination
of leather, fabric, yarn, and various other types of cloth. Included
also is analysis of pattern*s for cutting the textile material.
This subclass is indented under subclass 100. Subject matter wherein the accuracy or correctness of printed
pattern*s on an object under inspection is determined or
the inspection of the accuracy of reproduced pattern*s
is determined.
(1)
Note. Included herein are imaging system*s that
inspect webs, such as newspaper, etc., for proper registration of
the print thereon. Also included herein is inspection of the condition
of a document for soiling, staining, and similar damage to the document.
This subclass is indented under subclass 100. Subject matter wherein the imaging system* is specifically
designed for reading or processing documents having s:graphical
notations or illustrations.
(1)
Note. Included herein are systems that extract data from
these documents and identify features therein. Also included herein
are systems that read the chemical notations that represent chemical
structures.
(2)
Note. Excluded from this subclass are systems that read only
texts.
This subclass is indented under subclass 100. Subject matter wherein a particular representation of an
image is generated that can be interpreted by a sense other than
sight.
(1)
Note. Included herein are systems that recognize letters,
words, or documents and provide an output that does not rely primarily
on sight for sensing, including audio or tactile reproduction.
Television,
subclasses 62+ for use of a television camera in systems for aids for
the visually impaired, where a television system is an integral
part of the system.
This subclass is indented under subclass 100. Subject matter wherein an image or an image pattern* is
analyzed for the purpose of recognizing an individual or verifying
a person"s identity.
(1)
Note. Included herein are measurements of a finger, hand,
or foot, as well as keystroke dynamics and ID cards.
(2)
Note. It is not necessary that the pattern* selected
for analysis be a physical characteristic of the person to be identified.
Any pattern*, such that its connection to a given individual
permits confident identification of the individual, is sufficient.
(3)
Note. Included are both identification of a person (i.e.,
comparing the input feature to a plurality of stored features to identify
the person) and verification of the identity of a person (i.e.,
comparing the input feature to a specific feature, such as an ID
card, to verify the person"s identity).
Communications: Electrical,
subclasses 5.1 through 5.92for intelligence comparison for controlling in
a selective communication system, particularly subclasses 5.52-5.53
for varying authorization by comparison using user s body characteristic,
subclasses 5.8-5.86 for authentication, and subclasses 5.82-5.84
for authentication by biometrics.
Data Processing: Speech Signal Processing, Linguistics,
Language Translation, and Audio Compression/Decompression,
subclasses 246+ for voice recognition and subclass 273 for security
systems including speech signal processing.
Electronic Funds Transfer,
subclass 3 for biometrics, and subclasses 4+ and 25+ for
use of bank cards and similar devices to identify individuals in
an electronics funds transfer system.
This subclass is indented under subclass 115. Subject matter wherein more than one type of distinct identification
process is used to recognize or verify a person"s identity.
(1)
Note. Included are any combination of identification or recognition
processes or systems specified elsewhere in this class, or specifically
classified elsewhere, where the emphasis is on the use of a plurality
of different recognition processes and not to the particulars of
any individual process in the identification of a person.
This subclass is indented under subclass 115. Subject matter wherein a person is identified by analyzing
the person"s eye or characteristics of the eye, including
retinal pattern*s and iris pattern*s.
This subclass is indented under subclass 115. Subject matter wherein a person is identified by analyzing
the person"s face or characteristics thereof, including
distinct features of the face like eyes, nose, mouth, etc. and spacing
of the features, as well as the face as a whole, including facial
curves and thermal energy pattern*s of the face.
(1)
Note. The actual examination of the eye itself for personnel
recognition is classified in this class, subclass 117.
This subclass is indented under subclass 115. Subject matter wherein a person is identified by analyzing
the pattern* of a signed name.
(1)
Note. For classification in this subclass, the focal point
of the analysis must be the writer rather than the written message;
that is, an attempt must be made to identify the writer rather than
the mere alpha content of the signature.
Television,
subclass 161 for the remote verification of signatures using
television and having an operator making a decision as to the authenticity
of the signature, where a television system is an integral part
of the system.
This subclass is indented under subclass 119. Subject matter wherein the pressure characteristics of the
writing sample are used in combination with either speed (velocity,
that is, the first derivative of the values of the pen movement)
or acceleration (change in velocity, that is, the second derivative
of the values of the pen movement) characteristic to identify the person
doing the writing.
This subclass is indented under subclass 119. Subject matter wherein the characteristic of the writing
sample used is only pressure or force exerted by the writer with
a writing instrument during the writing of the sample.
This subclass is indented under subclass 119. Subject matter wherein the characteristic of the writing
sample used is only speed (velocity, that is, the first derivative
of the values of the pen movement) or acceleration (change in velocity,
that is, the second derivative of the values of the pen movement)
exerted by the writer with a writing instrument during the writing
of the sample.
This subclass is indented under subclass 119. Subject matter wherein the characteristics of the writing
sample used are static parameters of the writing.
(1)
Note. The static parameters include shapes, dimensions, and
key points of the sample. Also included are detecting and using
selected points of the sample with respect to a reference, such
as a grid on which the sample is written.
This subclass is indented under subclass 124. Subject matter wherein the system includes specific apparatus
to place the finger to be inspected at a specific location with
respect to an imaging system*.
This subclass is indented under subclass 124. Subject matter wherein a prism is used as part of an imaging
system* so as to acquire an image of the fingerprint for
identification.
(1)
Note. Included are systems where the fingerprint is directly
applied to the prism for pickup by the imaging system*.
This subclass is indented under subclass 100. Subject matter wherein the image analyzing system is designed
specifically for or utilized in the areas of radiation imaging or
microscopic cell analysis for the detection or diagnosis of disease,
or any other image analyzing application substantially related to
medicine, health, or other life sciences not provided for elsewhere.
This subclass is indented under subclass 128. Subject matter wherein cells or cell objects are analyzed
for specific parameters related to DNA, RNA, or chromosome pattern*s.
This subclass is indented under subclass 128. Subject matter wherein related images are processed (e.g.,
by subtraction) to produce difference images indicative of dissimilarities.
This subclass is indented under subclass 128. Subject matter wherein a means or process is provided for
generating or processing digitized images of one or more slices
of a nominally solid object, generated by computer tomography (i.e.,
CT), magnetic resonance (i.e., MR) or ultrasonically.
This subclass is indented under subclass 128. Subject matter related to processing standard film or digitized
X-ray images (e.g., bone fractures or mammography) such as for enhancement,
segmentation, tone generation.
This subclass is indented under subclass 128. Subject matter related to optically viewing or digitally
storing cell images for evaluating characteristics of cell images
by chromaticity of features and feature counting.
(1)
Note. Included herein is counting the number of a particular
type of cell.
This subclass is indented under subclass 133. Subject matter wherein the cell analysis, classification,
or counting is directed to red, white, or other types of blood cells.
This subclass is indented under subclass 100. Subject matter including means or process that can sense
images of paper money to verify authenticity, discriminate denominations,
sense condition, or count documents, based on optical or magnetic
scanning.