Face Recognition And Signature Verification With Neural Network using GABOR Wavelet And Discrete Wavelet Transform

  Manpreet Kaur,  Kamaldeep Kaur

Face recognition is emerging as one of the popular field in the biometric research. It is used in various surveillance systems for the security purpose as it doesn’t needs object comparison. The main advantage of using face recognition system is its uniqueness and acceptance over other biometric systems. Though this system is considered to be accurate but the detection of face is a difficult process as face detection is having the high degree of variability. Traditionally various method of the face recognition have been proposed but still the efficient results were not obtained. So in this paper the two biometric approaches are combined to increase the security of the system. The Gabor filter is used for the feature extraction. Later the ANN is used for the training of the network. The identification is done by matching the face and the signature person. From the results it concluded that this system is efficient, accurate and secure than the traditional technique. A comparison is performed between the traditional and proposed algorithm that shows proposed algorithm is more accurate.

Keywords- Face recognition ; biometeric ; signature verification ;Gabor filter ;Aritificial neural network .

Unique Identification Number - IJEDR1602106
Page Number(s) - 605-609
Pubished in - Volume 4 | Issue 2 | May 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Manpreet Kaur,  Kamaldeep Kaur,   "Face Recognition And Signature Verification With Neural Network using GABOR Wavelet And Discrete Wavelet Transform", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.605-609, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602106.pdf