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Face Detection is a challenging task due to large variations in pose, illumination, occlusion, scaling and clutter. Face detection is the primary step in Face recognition. The important goal of efficient face detection system is to have negligible misclassification rate. A novel face detection technique using CbCr color model with Haar feature extractor and Adaboost classifier is proposed. The proposed...
In this paper, an Interval Type-2 neuro-fuzzy inference system based emotion recognition system is proposed. The employed fuzzy inference system is a four layer network realizing Takagi-Sugeno-Kang fuzzy inference mechanism, with an input layer, a rule layer, a normalization layer and an output layer. The rule layer employs an Interval Type-2 fuzzy membership function to handle the uncertainty in...
In this paper we assess about the recognition of User Interaction events when handling electrical devices. This work is placed in the context of Intrusive Load Monitoring used for appliance recognition. ILM implies several Smart Metering Sensors to be placed inside the environment under analysis (in our case we have one Smart Metering Sensor per device). Our existing system is able to recognise the...
In this paper, fingerprint images compressed with WSQ, CAWDR and JPEG2000 are evaluated for fingerprint recognition performance. With high compression ratio between 40:1 to 160:1, fingerprint images which lost a lot of their details are used to find fingercodes, or core point. Euclidean Distance is the method used to find the matched fingerprint. We also proposed the subband-reduced CAWDR method which...
The detection and analysis of retinal vessels in ophthalmology is of great use in the diagnosis and progression monitoring of diabetic retinopathy. Automatic Detection of the vessel network has however been challenging due to noise from uneven contrast and illumination during the retinal image acquisition process. This paper presents a robust segmentation technique that combines phase congruence and...
The automatic identification of appliances through the analysis of their electricity consumption has several purposes in Smart Buildings including better understanding of the energy consumption, appliance maintenance and indirect observation of human activities. Electric signatures are typically acquired with IoT smart plugs integrated or added to wall sockets. We observe an increasing number of research...
Alarm fatigue can cause many negative results. Regarding ECG signals, an algorithm to reduce alarm fatigue is described, regardless of whether or not VPBs are involved in the false alarms. ECG signals are divided into five signal quality index levels (SQI): 0∼4, where level 0 represents a noise free signal and level 4 indicates the worst signal quality. The key of the method is to judge the noise...
For extorting the helpful comprehension concealed in the biggest compilation of a database the data mining technology is used. There are some negative approaches occurred about the data mining technology, among which the potential privacy incursion and potential discrimination. The latter consists of irrationally considering individuals on the source of their fitting to an exact group. Data mining...
Palm print is a unique and reliable biometric characteristic with high usability. With the increasing demand of highly accurate and robust palm print authentication system, multispectral imaging has been employed to acquire more discriminative information and increase the anti spoof capability of palm print. The experimentation for this project is done using PolyU palm print Database. Palm print images...
Over the past few years, the role of such positioning systems as Global Positioning System (GPS) and Global Navigation Satellite System (GNSS) in the big cities is falling rapidly. The reason for this is the increasing density, height and area of the buildings. The walls of the buildings are among the key problems in the performance of these positioning systems. In addition, the above systems are...
This paper investigates the use of MultiDimensional Voice Program (MDVP) parameters to automatically detect voice pathology in Arabic voice pathology database (AVPD). MDVP parameters are very popular among the physician / clinician to detect voice pathology; however, MDVP is a commercial software. AVPD is a newly developed speech database designed to suit a wide range of experiments in the field of...
The analysis of facial appearance is significant to an early diagnosis of medical genetic diseases. The fast development of image processing and machine learning techniques facilitates the detection of facial dysmorphic features. This paper is a survey of the recent studies developed for the screening of genetic abnormalities across the facial features obtained from two dimensional and three dimensional...
As availability of the mobile has been increased and many providers have started offering Location Based Services (LBS). There is undoubted potential of location-aware computing, but location awareness also comes up with the inherent threats, perhaps the most important of which is location privacy. This tracking of the location information result into unauthorized access of location data of user and...
Percussion instruments play a significant role in Carnatic music concerts. The percussion artist enjoys a great degree of freedom in improvising within the defined tāla structure of a composition. The objective of this paper is to transcribe the improvisations, treating the percussion strokes as syllables or aksharas.
Face recognition is very useful in various fields like security, surveillance, health care, traffic guidance etc. Most of the face recognition systems do face recognition under controlled environment. The proposed system works well even in the uncontrolled environments. Here a new value is found for each pixel using a symmetric local graph structure. Histogram of the newly found pixels are determined...
Face recognition has achieved immense popularity in various fields because of its robustness and accuracy. But pose variation is still a major obstacle to overcome for effective face recognition in an uncontrolled environment. A wide variety of face recognition algorithms have been proposed in the past. In this paper we exhibit a review of some of the common algorithms that expect to conquer on the...
As the size of digitized painting collections increase, it becomes more difficult to organize and retrieve paintings from these collections. To manage search and other similar operations efficiently, it becomes necessary to organize the painting databases into classes and sub-classes. Manual tagging of these ever-increasing databases would become very costly and time consuming. The above challenging...
This paper presents an open recommender system to ease the entering barriers due to lack of sufficient background knowledge for small or new service providers. The proposed Open Preference and Feature recommender (OPF) uses user preference and item feature as the basis of recommendations, since the generality of preference and feature and therefore meets the needs of an open recommender system. In...
The recognition of legal amount present on a bank cheque is a big challenge because of the structural complexity of characters and variability of writing styles in automatic bank cheque processing. This paper proposes a technique of text word recognition based on template matching technique using Correlation coefficient. We have developed a database of 61 words, combination of which can represent...
This paper presents a fast segmentation of iris portion from an eye image in an iris recognition system. In iris segmentation, we have to find the inner boundary (between pupil and iris) and outer boundary (between sclera and iris). To find the inner boundary a restricted circular Hough transform based method is applied. To locate the outer boundary image is first passes through inversion transform...
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