biometric engineering-lip pattern research papers

biometric engineering-lip pattern research papers








THE STABILITY OF LIP P ABILITY OF LIP P ABILITY OF LIP PATTERN CHARA TTERN CHARA TTERN CHARACTERISTICS CTERISTICS OVER TIME
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ABSTRACT This paper studied the lip prints of 85 subjects over a seven-month period. The patterns of the vermilion zone were shown to be stable with the passage of time. The number of matching features needed to prove concurrence between two prints was 

Lip tracking using pattern matching snakes
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ABSTRACT Lip reading is an important tool used by hearing impaired people to increase their understanding of spoken language. Linguistics experiments show that the features of speech that are degraded by noise in audio systems are the features of speech that are 

Lip traces recognition based on lines pattern
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This paper presents a method for automatic lip traces recognition based on lip furrows arrangement. First, lip trace is scanned and subjected to image processing and feature extraction. Then, identification is performed by comparing lip trace characteristics with a 

Pattern of clefts of the lip and palate managed over a three year period at a Nairobi hospital in Kenya
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ABSTRACT Background: The pattern of cleft lip and palate in the African population remains uncertain. The few studies of clefts in African populations have suggested that the pattern of these defects may be significantly different from those reported in other population groups. 

Study of Lip Print Pattern: A Digital Approach
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Dr. Rachana V. Prabhu, Reader, Yenepoya Dental College, Yenepoya University, Nithyananda Nagar Post, Deralakatte, Mangalore ,575018, Karnataka. Email:  Indian Journal of Forensic Odontology Volume 5 

Craniofacial Pattern of Parents of Children with Cleft lip and/or Palate Anomaly
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ABSTRACT Congenital abnormalities are the greatest concern for people who are considering having a child, birth of a cleft child is emotionally distressing to the parents, and so, discrimination of these potential parents might be of great help.

Robust lip tracking by combining shape, color and motion
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Color and Motion Ying-li Tian Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 yltian@cs.cmu.edu National Laboratory of Pattern Recognition Chinese Academy of Sciences, Beijing, China Lip Contours for Tightly Closed Lips : For the tightly closed

Lip Motion Pattern Recognition for Indonesian Syllable Pronunciation Utilizing Hidden Markov Model Method
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A speech therapeutic tool has been developed to help Indonesian deaf kids learn how to pronounce words correctly. The applied technique utilized lip movement frames captured by a camera and inputted them in to a pattern recognition module which can differentiate

Lip tracking using pattern matching snakes
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We use 2 Page 3. a technique that adapts to different lips without any prior training. The hypothesis is that snakes can be controlled by using two dimensional pattern templates of the lip edge contour instead of the image gradient

The challenge of multispeaker lip -reading.
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This paper attempts to quantify the poor performance of visual-only speech recognition and exam- ines its For example, an- ticipatory coarticulation effects cause the mouth to open or the lips to begin As in two types of visual feature are tested in our lip - reading system: Active

Recognition of spoken English phrases using visual features extraction and classification
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processing, artificial intelligence, object detection, pattern recognition , etc Using this recorded video, the points on lips are obtained by tracking face and then locating lips paper is to recognize different English phrases using visual features such as geometrical shape of the lip

The lip print recognition using Hough transform
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This means that there are no two individuals who have identical lip pattern . Personal identification based on lip traces is The study of furrow and groove patterns occurred in human lips is called cheiloscopy . Although Feature extraction, where a unique set of lip features is

Robust facial expression recognition using spatially localized geometric model
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Binary image obtained by thresholding A. Notice the improvement in the second row, in terms of edges for lips , and binarized We thank Dr. Sumana Gupta for helping us in formalizing the statistical approach for lip enhancement transform Pattern Recognition , 3 259-27 2003

Visual speech recognition automatic system for lip reading of Dutch
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of the mouth, while the standard deviation describes the thickness of the lips in that Since our goal was to achieve continuous lip reading, we started new recording sessions Proceedings of the 18th international Conference on Pattern Recognition Washington, DC, 200 881

Person recognition based on lip movements
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the lip model is applied to localize and to track the lips in the 5. Gordan M., Kotropoulos C., Pitas I. Pseudoautomatic Lip Contour Detection Based on EdgeDirection P., Luettin J., Genoud D., Wassner H. Acoustic-Labial Speaker Verification , Pattern Recognition Letters, 18

Lip contour extraction based on active shape model and snakes
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the lip information could be used in image coding . To improve the performance of speech recognition , the lip need it for generating the lip shape of the speaker[ 4]. Accurately and robustly tracking lip motion in image sequences is especially difficult because lips are highly

A new lip feature representation method for video-based bimodal authentication
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2.1 Mouth Corner Detection Before feature extraction and pattern classification, the ROI of lips should be There are many existing approaches of lip or face localization utilizing active contour models, intensity projection, pseudo hue or statistical models, eg active shape

Design and implementation of face recognition system in Matlab using the features of lips
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and Implementation of Face Recognition System in Matlab Using the Features of Lips C. Briceno and Miguel A. Ferrer, †Biometric Identification System Using Lip Shape‖, pp Detection In Complex Environment‖, in 16th International Conference on Pattern Recognition

A review on Indian sign language recognition
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General Terms Pattern Recognition , Human computer interaction, Artificial intelligence Keywords Sign language recognition , Indian Sign Language, ANN, SVM, HMM orientation and movement of the hands, arms or body, facial expressions and lip - patterns for conveying

Human facial feature extraction for face interpretation and recognition .
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11) 1 dS Mid_lengthLM wDIUNbl4¢k(xly) where Lbound represents lower lips , Ubound represents upper lip , Mid represents gap between lips pp.855-86 1990, 7. LD Harmon, M. K Khan, Richard Lasch and PF Rarnig, Pattern Recognition , vol.13

Lip processing and modeling based on spatial fuzzy clustering in color images
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The exponent allows the lip model to be fitted upon lips with different degrees of curvature The use of pseudo hue components in spatial fuzzy clustering algorithm allows a more reliable segmentation of the lip region in the face 9] J. C. Bezdek, Pattern Recognition with Fuzzy

Comparison of lip image feature extraction methods for improvement of isolated word recognition rate
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lip -contour movements rather than comprehensive information, such as that on lips and the in Korean) 2. Min, GS: A Study on the Robust Lip Detection and S., Sridharan, S., Chandran, V.: Adaptive mouth segmentation using chromatic features. Pattern Recognition Letters, Vol

The lateralization of lip -read sounds: A first look
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Here, a rather complex pattern of results ensued be that since heard speech is left-hemisphere lateralized and written speech is, too, that in matching seen lips to heard sounds, the RVF should be superior to the LVF at the task of matching heard phonemes to lip photographs

Automatic lip contour tracking and visual character recognition for computerized lip reading
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III. VISUAL CHARACTER RECOGNITION Visual character recognition is classified as a type of pattern recognition problem which requires statistical feature vector describing lip movements to A. Feature Vector Lip reading requires a numerical representation of lips to facilitate

Deep architectures for automatic emotion recognition based on lip shape
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in different areas, such as eg the artificial intelligence, natural language processing, pattern recognition , dimensionality reduction algorithm for recognition of emotional states referring only to human lip shape as reported in . The color and the shape of human lips are volatile

Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition .
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cursor. Three lip gestures are recognized: mouth opening, sticking out the tongue and forming puckered lips . Lip gesture recognition is performed by an artificial neural -SOFTWARE SALES SERVICE-https://www.engpaper.net--