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논문검색

Adaptive Fingerprint Enhancement

초록

영어

This project deals with a method of enhancing the degraded detail in the fingerprint images. The term adaptive implies that the parameters of this method are automatically adjusted based on the input fingerprint image. In this method, five processing blocks are involved. The process of fingerprint image enhancement is based on integrating the functionalities of each block. The five blocks are Pre processing, Global analysis, Local analysis, matched filtering and Image segmentation. In the Pre processing and Local analysis blocks, a nonlinear dynamic range adjustment method is used. In the Global analysis and Matched filtering blocks, various forms of order statistic filters are applied. These processing blocks yield an enhanced and new adaptive fingerprint image processing method.

목차

Abstract
 1. Introduction
 2. Image Enhancement
  2.1. Image Acquisition
  2.2. Spatial Domain Enhancement
  2.3. Frequency Domain Enhancement
  2.4. Automatic Enhancement
 3. Proposed Method
 4. Implement of Proposed Method
  4.1. Successive Mean Quantization Transform
  4.2. Global Analysis
  4.3. Local Analysis
 5. Simulation Results
 6. Conclusion and Future Scope
 References

저자정보

  • D. V. N. Koteswara Rao Department of ECE, SACET, Chirala, JNTUK, India
  • G. S. N. Kishore Department of ECE, SACET, Chirala, JNTUK, India
  • G. Vasavi Department of ECE, SACET, Chirala, JNTUK, India

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