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Single biometric features like faces, fingerprints, irises, retinas, etc., deteriorate or change with time, environment, user mode, physiological defects, and circumstance therefore integrating multi features of biometric traits increase robustness of the system. The proposed multimodal biometrics system presents recognition based on face detection and fingerprint physiological traits. This proposed system increases the efficiency, accuracy and decreases execution time of the system as compared to the existing systems. The performance of proposed method is reported in terms of parameters such as False Rejection Rate (FRR), False Acceptance Rate (FAR) and Equal Error Rate (EER) and accuracy is reported at 95.389%.<\/jats:p>","DOI":"10.4018\/ijismd.2020010103","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T07:53:22Z","timestamp":1582876402000},"page":"37-57","source":"Crossref","is-referenced-by-count":32,"title":["Multimodal Biometric Based on Fusion of Ridge Features with Minutiae Features and Face Features"],"prefix":"10.4018","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7073-6852","authenticated-orcid":true,"given":"Law Kumar","family":"Singh","sequence":"first","affiliation":[{"name":"Hindustan College of Science and Technology, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Munish","family":"Khanna","sequence":"additional","affiliation":[{"name":"Hindustan College of Science and Technology, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hitendra","family":"Garg","sequence":"additional","affiliation":[{"name":"GLA University, Mathura, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJISMD.2020010103-0","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB.2011.6117533"},{"key":"IJISMD.2020010103-1","first-page":"2291","article-title":"Fusion of Face and Signature at the Feature Level by using Correlation Pattern Recognition.","volume":"59","author":"S.Awang","year":"2011","journal-title":"World Academy of Science, Engineering and Technology"},{"key":"IJISMD.2020010103-2","first-page":"571","article-title":"Fusion of face and iris features for multimodal biometrics.","author":"C. 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