Most fingerprint matching systems are based on four types of fingerprint representation schemes ( Fig. Nowadays, investigating the influence of the fingerprint quality on recognition performances also gains more and more attention.Ī fingerprint is the pattern of ridges and valleys on the surface of a fingertip. Although significant progress has been made in designing automatic fingerprint identification systems over the past two decades, a number of design factors (lack of reliable minutia extraction algorithms, difficulty in quantitatively defining a reliable match between fingerprint images, poor image acquisition, low contrast images, the difficulty of reading the fingerprint for manual workers, etc.) create bottlenecks in achieving the desired performance. Many researchers have addressed the fingerprint classification problem and many approaches to automatic fingerprint classification have been presented in the literature nevertheless, the research on this topic is still very active. Fingerprint recognition is one of the most popular biometric techniques used in automatic personal identification and verification. The person’s physiological or behavioral characteristics, known as biometrics, are important and vital methods that can be used for identification and verification. In our electronically inter-connected society, reliable and user-friendly recognition and verification system is essential in many sectors of our life.
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