Date of Publication :28th March 2018

Abstract: There have been various incidents of bombings or accidents resulting in the death of people or causing severe casualties. This makes recognizing people difficult. It becomes very hard to identify / recognize the individual and inform their respective family members. With the emerging technologies, there are various ways of identifying / recognizing a person. Image processing on smartphones has been trending since last few years. Besides it has been a new and exciting field with immense challenges because of limited hardware and connectivity problem. But new technologies has helped in overcoming these limitations. Also, the technologies have made Android-based smartphones the core of many applications. Various approaches like feature extraction for face recognition using DCT algorithm with RBF neural network or novel fingerprint impression matching approach that uses global minor matching and the Support Vector Machine (SVM) have been used for identification of any individual. The identification process will be done using this two techniques namely Facial Recognition and Fingerprint Impression which help in recognizing people. FingerPrint Impression technique lets us identify an individual by scanning their finger and recognize the person. Facial Recognition technique identifies any person by scanning his / her face. Identification of Unaided Person Using FingerPrint Impression or Facial Recognition is an Android system that will identify and recognize an unaided person and inform the family if needed. (DCT – Discrete Cosine Transform).

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