A new approach for fingerprint recognition based on mel frequency cepstral coefficients

“…A good window function has a narrow main lobe and low side lobe levels in their transfer functions, so the most commonly used window function is the hamming window, which defined as Eq. ( 3) [9]:…”

Section: Implement Of Key Technologiesmentioning

confidence: 99%

“…4) Map the log amplitudes of the spectrum onto the Mel scale, using triangular overlapping filters [9]. 5) Perform Discrete Cosine Transformation (DCT) on the Mel log amplitudes.…”

Section: Implement Of Key Technologiesmentioning

confidence: 99%

Speech Evaluation System Based on MFCC

Wang

2012

AMR

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In order to evaluate the speaker's pronunciation quality, a speech evaluation system based on MFCC is designed by using some techniques including pre-processing, feature extraction and pattern matching and so on. The MFCC parameters of the standard speech and those of the original speech are extracted. The result is given by the mechanism. Experimental results show that the scores assessed by the system is relating to people’s subjective feeling closely. The software is developed by VC++ and runs on windows XP.

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“…al. [7] have introduced Mel Frequency Cepstral Coefficients (MFCCs) for Fingerprint Recognition. Manisha Redhuand and Dr.Balkishnan [9] has proposed new method in FPR system.…”

Section: Introductionmentioning

confidence: 99%

ASIC Implementation of Finger Print Recognition Using Overlap-Add and Integer Wavelet Transform Methods

R¹,

R²

2017

IJIGSP

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Abstract-The field of fraud identification is reaching a very high proportion in the society, thus leading to an increase in the need for fingerprint-based identification. This paper presents ASIC implementation of fingerprint recognition based on Overlap-add method and Integer Wavelet Transforms. In overlap-add method, the present output overlaps the next output and in the integer to integer wavelet, low component at 2 nd level decomposition is taken as approximate integer value. The implementation presents an analysis for speed, area and power dissipation between the two algorithms and other methods.

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A new approach for fingerprint recognition based on mel frequency cepstral coefficients

Cited by 5 publications

References 12 publications

Welding defect detection from radiography images with a cepstral approach

Welding defect detection from radiography images with a cepstral approach

Speech Evaluation System Based on MFCC

ASIC Implementation of Finger Print Recognition Using Overlap-Add and Integer Wavelet Transform Methods

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