CSVTU B.E. VIII Semester Computer Science Engineering Pattern Recognition Syllabus

CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY, BHILAI (C.G.)

Semester: VIII Branch: Computer Science & Engg.

Subject: Pattern Recognition

UNIT 1

Introduction; Probability- Probability of events, Random Variables, Joint distributions and density ,

Moments of Random Variables, estimation, Minimum Risk Estimator.; Matrix Algebra – Eigenvalues

& Eigen Vectors.

UNIT 2

Statistical Decision Making- Bayes’ Theorem, Multiple features, Conditional independent features,

Decision boundaries, Unequal cost of errors, Leaving- one-out technique, Characteristics curves

Nonparametric Decision making- Histograms, Kernel & window estimation, Nearest neighbor

classification technique, Adaptive Decision boundaries & Discriminant Function, choosing a decision

making Technique; Clustering.

UNIT 3

Artificial Neural Networks- Introduction, Nets without hidden layers, Nets with hidden layers, The

Back-Propagation Algorithm, Hopfield Nets, Classifying Sex from facial Images.

Pattern recognition using SAS.

UNIT 4

Processing of Waveforms and Images- Introduction, Gray level scaling Transformation, Equalization,

Interpolation, Edge detection, Line detection & Template Matching, The Statistical Significance of

Image Features.

UNIT 5

Image Analysis- Scene segmentation & labeling, Counting Objects, Perimeter measurement,

Representing boundaries, Projection, Hough transformation, shapes of regions, texture, color,

system design, the classification of white blood cell, Image Sequence

Computer Vision.

TEXT BOOKS

1. PATTERN RECOGNITION AND IMAGE ANALYSIS by Earl Gose ; Prentice- Hall of India

2. M. I. Schlesinger, V. Hlavác,

Ten Lectures on Statistical and Structural Pattern Recognition

,

Kluwer Academic Publishers, 2002.

 

 

REFERENCES

1. S. Theodoridis, K. Koutroumbas,

Pattern recognition

, Academic Press, 1999

2. J. Sklanski and G.N. Wassel,

 

 

 

Pattern Clas

 

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