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Fake currency detection is a serious issue worldwide, affecting the economy of almost every country including India. The possible solutions are to use either chemical properties of the currency or to use its physical appearance. The approach presented in this paper is based upon physical appearance of the Indian currency. Image processing algorithms have(More)
Resistor combinations are being frequently used by scientists and researchers to get the desired value of resistance. In literature; this is achieved either by connecting the resistors in various combinations or by manual tuning of potentiometers; which is quite tedious. Moreover; resistance value is compromised with another close available value most of(More)
  • Neeru Rathee
  • 2016
Visual Speech processing is the key concern of researchers working in the field of speech processing and computer vision. Though earlier audio speech processing was popularly used for speech recognition but their performance deteriorated in the presence of noise. Moreover, variation in accent is another challenge that affects the performance of such(More)
  • Neeru Rathee
  • 2016
Lip reading, also known as visual speech processing, means recognition of spoken word based on the pattern of lip movements while speaking. Audio speech recognition systems are popular since last many decades and have achieved a great success, but recently visual speech recognition has incited the interest of researchers towards lip reading. Lip reading has(More)
Facial expression is the most natural way for the humans to convey their emotions with intensions. Facial expressions can be easily detected by human but for machines, it is very challenging task. In this paper, an approach for real time emotion detection is presented using real time graphic user interface for detection of emotion through a web camera. The(More)
This paper compares the performance of Relevance Vector Regression and Support Vector Regression for the purpose of facial expression recognition. The Support Vector Machine (SVM) is a state-of-the-art technique for regression and classification, but lacks the probabilistic treatment which is overcome by Relevance Vector Machine (RVM). Though SVM's have a(More)
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