Automated fingerprint identificationprocess takes many steps and may leads to accessibility problem. Image processing techniques can be implemented in automatic fingerprint identification system for better recognition. The image processing improver’s accuracy of the identification process without damaging the real quality of the fingerprint images. The basic enhancement, resizing and contest improvement are followed as the basic steps of the image processing techniques before using the gray scale conversion process. The dry finger print and wet fingerprint images should be automatically determined with the defined parameter settings. The image processing technique of classification and automatic parameter selection are used for better fingerprint enhancement procedure, which is one of the novel method followed in this research work. The process carried out in enhancement procedure produces best result in evaluation and identification process of the fingerprint using fingerprint sensors without damaging the quality of the images. The image enhancement process also improves the quality of the database and easy acceptability of evaluation process. Uchida method used in previous fingerprint identification process only uses the particular segment of fingerprint rather using full finger print. The finger print patterns are the most significant factors in identification process. The gray scale conversion process of the image processing techniques is one of the important technique used in the pattern recognition process. The image enhancement techniques usually follows frequency domain and spatial domain which has some practical difficulties in matching process. The discussed problem can be solved withproposed FFT-Based Signal Analysis and Measurement techniques inglobal features but do not compensate for the effect of image-to-image brightness variations. The proposed Gabor Filters Algorithm using FFT based signal analyzing process makes best drop down in Equal error rate (EER) 1.82% to 1.22%.