Digital Image Processing

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Frequency Domain Enhancement Filters for Fingerprint Image:A Performance Evaluation


Affiliations
1 Department of Computer Science, DJ Academy for Managerial Excellence, Coimbatore, Tamilnadu, India
2 Department of Computer Science, DJ Academy for Managerial Excellence, Coimbatore, Tamilnadu, India
     

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Filtering and Image Enhancements are the primary need of the automatic identification and authentication system. This paper aims to review and evaluate the frequency domain enhancement techniques: Ideal Low Pass filtering (ILPF), Butterworth Low Pass Filtering (BLPF), Band Pass Filtering (BPF), and Log-Gabor Filtering. Experimental results show the performance measures based on Peak-Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) and also Standard Deviation between original and enhanced image.

Keywords

Band-Pass Filter, Butterworth Filter, Domain, Log-Gabor, Low-Pass.
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  • Frequency Domain Enhancement Filters for Fingerprint Image:A Performance Evaluation

Abstract Views: 135  |  PDF Views: 1

Authors

E. Chandra
Department of Computer Science, DJ Academy for Managerial Excellence, Coimbatore, Tamilnadu, India
K. Kanagalakshmi
Department of Computer Science, DJ Academy for Managerial Excellence, Coimbatore, Tamilnadu, India

Abstract


Filtering and Image Enhancements are the primary need of the automatic identification and authentication system. This paper aims to review and evaluate the frequency domain enhancement techniques: Ideal Low Pass filtering (ILPF), Butterworth Low Pass Filtering (BLPF), Band Pass Filtering (BPF), and Log-Gabor Filtering. Experimental results show the performance measures based on Peak-Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) and also Standard Deviation between original and enhanced image.

Keywords


Band-Pass Filter, Butterworth Filter, Domain, Log-Gabor, Low-Pass.