Quality Of Input Fingerprint Images Research Articles

Design of Biometric Fingerprint Image Enhancement Algorithm by using Iterative Fast Fourier Transform

Among all the minutia based fingerprint identification system, the performance depends on the quality of input fingerprint images. In this paper, we have designed and implemented an algorithm of fingerprint image enhancement by using Iterative Fast Fourier Transform (IFFT). We have designed an approach for removing the false minutia generated during the fingerprint processing and a method to reduce the false minutia to increase the efficacy of identification system. We have used fingerprint Verification Competition 2006 (FVC 2006) as a database for implementation of proposed algorithm. Experimental results show that the results of our enhancement algorithm are better than existing algorithm of fast Fourier transform.

Design of Biometric Fingerprint Image Enhancement Algorithm by Using Iterative Fast Fourier Transform

Among all the minutia based fingerprint identification system, the performance depends on the quality of input fingerprint images. In this paper, we have designed and implemented an algorithm of fingerprint image enhancement by using Iterative Fast Fourier Transform (IFFT). We have designed an approach for removing the false minutia generated during the fingerprint processing and a method to reduce the false minutia to increase the efficacy of identification system. We have used fingerprint Verification Competition 2006 (FVC 2006) as a database for implementation of proposed algorithm. Experimental results show that the results of our enhancement algorithm are better than existing algorithm of fast Fourier transform.

An effective and robust fingerprint enhancement by adaptive filtering in frequency domain

Extensive research of automatic fingerprint identification system (AFIS), although started in the early 1960s, has not yet give the answer to reliable fingerprint recognition problem. A critical step for AFIS accuracy is reliable extraction of features (mostly minutiae) from the input fingerprint image. However, the effectiveness of a feature extraction relies heavily on the quality of the input fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition system to make the system robust with respect to the quality of input fingerprint images. In this paper we propose an adaptive filtering in frequency domain in order to enhance fingerprint image. Two different directional filters are proposed and results are compared. .

A GABOR FILTER BASED FINGERPRINT ENHANCEMENT SCHEME USING AVERAGE FREQUENCY

Fingerprint minutiae are prevalently used in fingerprint recognition systems. The extraction of fingerprint minutiae is heavily affected by the quality of fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition systems to make the system robust with respect to the quality of input fingerprint images. Most of existing enhancement methods suffer from two main kinds of defects: (1) time consuming and thus unusable in time critical applications; and (2) blocky and directional effects in the enhanced image. This paper proposes an improved fingerprint enhancement scheme based on the Gabor filter tuning its frequency to the average frequency of the input image and changing its shape from square to circle and dynamically adjusting the filter's size based on the average frequency. This scheme can enhance the fingerprint image rapidly and overcome the blocky and directional effects and does improve the performance of minutiae detection.

Fingerprint image enhancement: algorithm and performance evaluation

In order to ensure that the performance of an automatic fingerprint identification/verification system will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. We present a fast fingerprint enhancement algorithm, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency. We have evaluated the performance of the image enhancement algorithm using the goodness index of the extracted minutiae and the accuracy of an online fingerprint verification system. Experimental results show that incorporating the enhancement algorithm improves both the goodness index and the verification accuracy.