Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Image Pattern Recognition

  • Jian Yang
  • Jingyu Yang
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_223



Image pattern recognition is the problem of exploring how to recognize image patterns. An image pattern recognition system generally consists of four parts: a camera that acquires the image samples to be classified, an image preprocessor that improves the qualities of images, a feature extraction mechanism that gains discriminative features from images for recognition, and a classification scheme that classifies the image samples based on the extracted features.


Image is the most important pattern perceived everyday. A lot of biometric patterns, such as faces, fingerprints, palmprints, hands, iris, ears, are all shown in images. Image pattern recognition, therefore, the fundamental problem in pattern recognition area, particularly in biometrics. The process of an image pattern recognition task generally includes four steps: image acquisition, image preprocessing, image feature...
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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Jian Yang
    • 1
  • Jingyu Yang
    • 1
  1. 1.School of Computer Science and TechnologyNanjing University of Science and TechnologyNanjingChina