The automation in all walks of daily life is required for secure communication by overcoming with traditional techniques like Badges, Personal ID cards etc., In the proposed research work Dual Tree Complex Wavelet Transformation (DTCWT) fingerprint recognition method for data base FVC 2004 DB 3_A is carried out. The Preprocessing has been carried out for all the images to obtain uniform size i.e., Region of Interest (ROI). The Three stage DTCWT algorithm is utilized to achieve final characteristics for the size of 2^x × 2^y images. The ED (Euclidean distance) method is employed for matching and Evaluation terms like False acceptance rate (FAR), Equal Error rate (EER) and False rejection rate (FRR) are measured. It is visually examined that in contrast from contemporary algorithms FAR, EER and FRR values are strengthened with the proposed method.

通过克服传统技术（例如徽章，个人ID卡等）来确保通讯的安全，各行各业都需要自动化。在拟议的研究工作中，数据库FVC 2004 DB 3_A的双树复小波变换（DTCWT）指纹识别方法完成了。已经对所有图像进行了预处理，以获得统一的大小，即感兴趣区域（ROI）。利用三阶段DTCWT算法获得2 ^x  ×2 ^y大小的最终特征图片。采用ED（欧几里德距离）方法进行匹配，并评估评估项，例如错误接受率（FAR），相等错误率（EER）和错误拒绝率（FRR）。目视检查发现，与现代算法相比，所提出的方法增强了FAR，EER和FRR值。