Enhanced ridge structure for improving fingerprint image quality based on a wavelet domain

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ENHANCED RIDGE STRUCTURE FOR IMPROVING FINGERPRINT IMAGE
QUALITY BASED ON A WAVELET DOMAIN
ABSTRACT
Fingerprint image enhancement is one of the most crucial steps in an automated
fingerprint identification system. In this paper, an effective algorithm for fingerprint image
quality improvement is proposed. The algorithm consists of two stages. The first stage is
decomposing the input fingerprint image into four sub-bands by applying two-dimensional
discrete wavelet transform. At the second stage, the compensated image is produced by
adaptively obtaining the compensation coefficient for each sub-band based on the referred
Gaussian template. The experimental results indicated that the compensated image quality was
Higher than that of the original image. The proposed algorithm can improve the clarity and
continuity of ridge structures in a fingerprint image. Therefore, it can achieve higher fingerprint
Classification rates than related methods can.

Phase congruency is an edge detector and measurement of the significant feature in the image. It is a robust method against contrast and illumination variation. In this paper, two novel techniques are introduced for developing alow-cost human identification system based on face recognition. Firstly, the valuable phase congruency features, the gradient-edges and their associate dangles are utilized separately for classifying 130 subjects taken from three face databases with the motivation of eliminating the feature extraction phase. By doing this, the complexity can be significantly reduced. Secondly, the training process is modified when a new technique, called averaging-vectors is developed to accelerate the training process and minimizes the matching time to the lowest value. However, for more comparison and accurate evaluation,three competitive classifiers: Euclidean distance (ED),cosine distance (CD), and Manhattan distance (MD) are considered in this work. The system performance is very competitive and acceptable, where the experimental results show promising recognition rates with a reasonable matching time.

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Fingerprint Images Enhancement ppt

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Fingerprints vary person to person i.e. no two persons can have same fingerprint ridge structures, so they play a major role in unique identification of human beings. Fingerprints of human beings are unique and persistent. Hence, in biometric identification applications, Automatic Fingerprint Identification System (AFIS) is emerging as a popular technology. The whole performance of the system depends on the quality of finger print images. Keeping in mind the above fact, this paper is solely based on fingerprint image enhancement so as to improve the quality of fingerprints, which makes feature (minutiae) extraction reliable.

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