An Approach To Latent Fingerprint Indexing Preprocessing Techniques and Its Functionality
Harivans Pratap Singh1, Priti Dimri2, Shailesh Tiwari3
1Harivans Pratap Singh, Research Scholar, Uttarakhand Technical University, Dehradun, Assistant Professor, ABES Engineering College Ghaziabad (Uttar Pradesh), India.
2Priti Dimri, Department of Computer Science and Applications, G.B. Pant Engineering College, Ghurdauri, Uttarakhand, India
3Prof. Shailesh Tiwari, Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 208-213 | Volume-8 Issue-8, June 2019 | Retrieval Number: E6306038519/19©BEIESP
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Abstract: There has been a lot of research in the field of fingerprint extraction techniques due to its growing importance in area of criminology and advance science to achieve the high security feature associated with its unique quality of identification. Studies have been made so far for various applicability of finger recognition which involves recording and matching of stored images with high estimation of correctness using the ridge and minutiae based pattern flowBut the major challenge for finger print matching and its identification lies with the emergence and extraction of clear recognizable images from the latent unidentifiable pattern on an object. This paper focuses on latent image processing patterns and indexing methodologies with ridge and minutiae based orientation techniques .Using the SVM model with algorithms this proposal will not only compute the direction of minutiae but also its singular point rotational direction thus an efficient algorithm is the aim of this paper which will further use binary decision making and pre-processing state of the art technique and also discuss the post-processing steps.
Keyword: Binarization , Equalization, Gradient, Magnitude Minutia, Ridge
Scope of the Article: Artificial Intelligent Methods, Models, Techniques