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Image Pattern Recognition

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics

  • 211 Accesses

Synonyms

Image classification; Image pattern classification; Image recognition

Definition

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.

Introduction

Image is the most important pattern perceived every day. A lot of biometric patterns, such as faces, fingerprints, palm prints, hands, iris, and ears, are all shown in images. Image pattern recognition is, 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...

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, People’s Republic of China

    Jian Yang & Jingyu Yang

Authors
  1. Jian Yang
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  2. Jingyu Yang
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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Yang, J., Yang, J. (2015). Image Pattern Recognition. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_223

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