SP REPORT.docx - FINGER PRINT RECOGNITION AND EDGE...

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FINGER PRINT RECOGNITION AND EDGE DETECTION USING SHORT TIME FOURIER TRANSFORM SIGNAL PROCESSING Project Based Lab Report Submitted in partial fulfilment of the requirements for the award of the degree of BACHELOR OF TECHNOLOGY SAI GURU G.PRASANTH SURYA 150050199 150050062 150050086 II/IV B.Tech, II-sem II/IV B.Tech, II-sem II/IV B.Tech, II-sem II/IV B.Tech, II-sem Submitted by Under the esteemed guidance of Faculty Name:K.RAVI KUMAR Designation: ASST.PROFESSOR Department of Electronics & Computer Science Engineering K L UNIVERSITY Green Fields, Vaddeswaram 2016-17
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INDEX Content Page No ABSTRACT 1. Introduction 2. Block Diagram 3. Task-1 3.1 MATLAB Commands Explanation 3.2 Programming 3.3 Results 4. Task-2 4.1 MATLAB Commands Explanation 4.2 Programming 4.3 Results 5. Conclusion 6. Future Scope 7. References K L UNIVERSITY Green Fields, VADDESWARAM
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CERTIFICATE This is to certify that the Signal Processing project based lab report entitled “Title of your Project” submittedbyK.BHARGAVI(150050100),SAIGURU(150050199),G.PRASANTH(1500 50062),K.SURYA(150050086), in partial fulfillment of the requirements for the award of the Degree Bachelor of Technology in “ Electronics & Computer Science Engineering ” is a bonafide record of the work carried out under our guidance and supervision at KL University during the academic year 2016-17. Signature of Course Coordinator Signature of Project guide Head of The Department ACKNOWLEGDEMENT
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Apart from the efforts of ours, the success of any work depends largely on the encouragement and guidelines of many others. We take this opportunity to express our gratitude to the people who have been instrumental in the successful completion of this project based lab report. We express our gratitude to our Project Guide K.Ravi Kumar ,Asst.Professor, Dept of Electronics & Computer Science Engineering and Course Coordinator Dr.G.V.Subba rao,Professor, Dept. of ECE. We can’t thank him enough for tremendous support and help. We feel motivated and encouraged every time we attend his meeting. Without his encouragement and guidance this Project would not have materialized. We are thankful to our Head of the Department Dr.K Raghava rao, Professor,Dept. of ECSE ; who modeled us both technically and morally for achieving greater success in life. We would like to show our greatest appreciation to Dr. N.Venkatram, Dean Academics, KLU for his valuable suggestions and statements. Finally, we owe a lot to the teaching and non-teaching staff of the Dept. of ECSE for their direct or indirect support in doing our Lab based project work. ABSTRACT:
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The use of fingerprints is an important method for identification of individuals in today’s world. They are also one of the most reliable biometric traits, besides the iris. Fingerprint recognition refers to various tasks that are associated with fingerprint identification, verification, feature extraction, indexing, enhancement and classification. There are a lot of systems, in a variety of domains, that employ fingerprint recognition. That being a given, precision in fingerprint recognition is essential. Identification using fingerprints is done using a feature extraction step,
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