[go: up one dir, main page]

Iftekharuddin et al., 2000 - Google Patents

Constraints in distortion-invariant target recognition system simulation

Iftekharuddin et al., 2000

Document ID
6718360661017419289
Author
Iftekharuddin K
Razzaque M
Publication year
Publication venue
Photonic Devices and Algorithms for Computing II

External Links

Snippet

Automatic target recognition (ATR) is a mature but active research area. In an earlier paper, we proposed a novel ATR approach for recognition of targets varying in fine details, rotation, and translation using a Learning Vector Quantization (LVQ) Neural Network (NN). The …
Continue reading at www.spiedigitallibrary.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/522—Frequency domain transformation; Autocorrelation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00087—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/74—Arrangements for recognition using optical reference masks
    • G06K9/741—Arrangements for recognition using optical reference masks using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators
    • G06K9/743—Arrangements for recognition using optical reference masks using frequency domain filters, e.g. Fourier masks implemented on spatial light modulators characterised by the kind of filter
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/74—Arrangements for recognition using optical reference masks
    • G06K9/748—Arrangements for recognition using optical reference masks using spatial domain filters, e.g. joint transform correlators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
US5848193A (en) Wavelet projection transform features applied to real time pattern recognition
Zhao et al. Rotation-invariant image and video description with local binary pattern features
Khotanzad et al. Classification of invariant image representations using a neural network
Jaberi et al. Accurate and robust localization of duplicated region in copy–move image forgery
Ayala-Ramirez et al. Circle detection on images using genetic algorithms
Mar et al. Design and development of automatic visual inspection system for PCB manufacturing
Park et al. Rotation and scale invariant upsampled log-polar fourier descriptor for copy-move forgery detection
Theagarajan et al. Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition
Mahamdioua et al. Automatic adaptation of SIFT for robust facial recognition in uncontrolled lighting conditions
Perez et al. Evolutionary learning of local descriptor operators for object recognition
Iftekharuddin et al. Constraints in distortion-invariant target recognition system simulation
Chao et al. Optoelectronically implemented neural network with a wavelet preprocessor
Stubendek et al. Shape recognition based on projected edges and global statistical features
Li et al. Ship detection and recognition combing one‐dimensional range profile with SAR image
Weber et al. Fusion and optimized Gabor filter design for object detection
Chitralekha et al. Detection of targets varying in fine details, rotation, and translation
Casasent Scene analysis research: optical pattern recognition and artificial Intelligence
Offermans et al. Using time series to identify strongly-lensed gravitational waves with deep learning
Taylor et al. Art forgery detection via craquelure pattern matching
Gan et al. Research on copy-move image forgery detection using features of discrete polar complex exponential transform
Singh et al. Localized radon polar harmonic transform (LRPHT) based rotation invariant analysis of textured images
Rotter et al. Object detection with few training data: Detection of subsiding troughs in SAR interferograms
Mills et al. Applying backpropagation neural networks to fringe analysis
Han A New Method to Solve Same-Different Problems with Few-Shot Learning
Hjouji et al. The 2-Orthogonal and Orthogonal Radial Shape Moments for Image Representation and Recognition