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This paper proposes and evaluates an algorithm to automatically detect the cataracts from color images. Currently, methods available for cataract detection are based on the use of either fundus camera or DSLR camera; both are very expensive. The main motive behind this work is to develop an inexpensive, robust and convenient algorithm which in conjugation with suitable devices will be able to diagnose...
Latent fingerprints on banknotes provide valuable information in forensic applications to identify suspects of robbery cases and counterfeiters. The image quality of latent fingerprints is poor due to the complex background of banknotes compared to live-scan images acquired in a controlled environment. An effective orientation field estimation algorithm is necessary for enhancing poor quality latents...
This work aims to solve the problem of musical instrument identification in monophonic audio samples. The instruments chosen for this work were piano, flute, violin, drums and guitar. The audio data were sampled into frames of fixed size & then MFCC and few other TIMBRAL features were extracted from them. These features were used for training and testing the network. But instead of selecting one...
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