PTO Manual of Classification for US patents

PTO Manual of Classification for US patents

What follows are the subclasses from one class of the Manual of Classification for US patents. As you scroll through the list and encounter a class/subclass of interest, you can jump back to the top and retrieve patent titles by entering the class/subclass in the box below.


Enter a class/subclass code here to get a list of patent titles. Use any of the following forms:
363-131 121-55A 14-.5
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Class Number: 382
 Class Title: IMAGE ANALYSIS

Subclass  Subclass
Number    Title

  1       APPLICATIONS
  2       .Personnel identification
  3       ..Using a signiture
  4       ..Using a fingerprint
  5       ...Extracting minutiae such as ridge endings and bifurcations
  6       .Biomedical applications (e.g., blood cell analysis)
  7       .Reading currency or bank checks (e.g., documents bearing E-13B
            type characters)
  8       .Manufacturing
  9       IMAGE SEGMENTATION
  10      PATTERN RECOGNITION
  11      .Limited to specially coded, human-readable characters
  12      ..Characters formed entirely of parallel bars (e.g., CMC-7)
  13      .On-line recognition of handwritten characters
  14      .Adaptive pattern recognizers (e.g., adaline, perceptron)
  15      ..Capable of unsupervised learning
  16      .Feature extraction
  17      ..Multi-spectral features (e.g., color, frequency, phase)
  18      ..Feature counting or histogramming
  19      ..Local or regional features
  20      ...Slice codes
  21      ...Directional codes and vectors (e.g., Freeman chains,
              compass-like codes)
  22      ...Pattern boundary and edge measurements
  23      ...Point features (e.g., spatial coordinate descriptors)
  24      ...Linear stroke analysis (e.g., limited to straight lines)
  25      ...Shape and form analysis
  26      ....Topological properties (e.g., number of holes in a pattern,
               connectivity, etc.)
  27      ...Neighborhood transforms and matrix operators
  28      ..Global features (e.g., measurements on image as a whole, such
             as area, texture, projections, etc.)
  29      ..Waveform analysis
  30      .Template matching (e.g., specific devices that determine the
            best match)
  31      ..Spatial filtering (e.g., holography)
  32      ..Nonholographic optical mask or transparency
  33      ..Electronic mask
  34      ...Comparator
  35      ...Resistor matrix
  36      .Classification
  37      ..Sequential decision process (e.g., decision tree structure)
  38      ...With a multi-level classifier
  39      ..Statistical decision process
  40      .Context analysis
  41      IMAGE TRANSFORMATION OR PRE-RECOGNITION PROCESSING
  42      .Correlation or convolution
  43      .Fourier, Hadamard, or Walsh transform
  44      .Changing the image coordinates
  45      ..To position or translate the image
  46      ..To rotate the image
  47      ..To change the scale or size of an imagee
  48      .Locating a pattern
  49      .Multi-layered image transformations
  50      .Adaptive quantization or variable thresholding
  51      ..Based on the results of a histogram or count
  52      ..Based on a local average
  53      ..Based on peak levels
  54      .Image enhancement or restoration
  55      ..Line thinning or thickening
  56      .Data compression or image coding
  57      POST-RECOGNITION PROCESSING (E.G., EDITING AND ERROR CHECKING)
  58      IMAGE SENSING
  59      .Hand-held
  60      .Curve tracer
  61      .Format control
  62      .Multiple scanning
  63      ..Pre-scanning
  64      .Magnetic
  65      .Optical
  66      ..Single spot
  67      ..Single line
  68      ..Full retina
  69      MISCELLANEOUS