This thesis includes three separate research projects focusing on computer vision principles and deep learning pattern recognition problems. Chapter 3 entails color quantization applications using traditional Kmeans clustering techniques and random selection of color techniques within the red, green, blue (RGB) color space to maintain a high-quality image while significantly reducing image file size. Chapter 4 consists of a handwriting character recognition algorithm using backpropagation to classify 70,000 handwritten values from US Census Bureau employees and high school students. Chapter 5 proposes a novel classification technique for 109,446 unique heartbeat samples to identify areas of interest and assist medical professionals in diagnosing heart problems.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1833432 |
| Date | 08 1900 |
| Creators | Jaques, Lorenzo E |
| Contributors | Bailey, Colleen P, Varanasi, Murali, Guturu, Parthasarathy, Namuduri, Kamesh |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 85 pages, Text |
| Rights | Public, Jaques, Lorenzo E, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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