The human eye, connected to the brain, gives people the possibility to immediately, automatically and exactly recognize one person from another. A main aim is obviously to “copy” this recognition mechanism of the brain and to use it as a means for face recognition. Since the human recognition happens through an automatic “authentication” of facial shape and features, this face study is totally ...

We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affixed words were presented in a lexical decision task: free stems (e.g., taxable), bound roots (e.g., tolerable), and unique root words (e.g., vulnerable, the root of which does not appear elsewhere). Analysis was focused on...

Identifying and classifying personal, geographic, institutional or other names in a text is an important task for numerous applications. This paper describes and evaluates a language-independent bootstrapping algorithm based on iterative learning and re-estimation of contextual and mOrphological patterns captured in hierarchically smoothed trie models. The algorithm learns from unannotated text...

The present study investigated the electrophysiological correlates of morphological processing in Chinese compound word reading using a delayed repetition priming paradigm. Participants were asked to passively view lists of two-character compound words containing prime-target pairs separated by a few items. In a Whole Word repetition condition, the prime and target were the same real words (e.g...

The selection of appropriate Lexical Units (LUs) is an important issue in the development of Continuous Speech Recognition (CSR) systems. Word has been used classically as unit in most of them. However, proposals of non-word units have begun to arise. Since the subject of this study is the Basque language, which is an agglutinative language with a complex structure inside words, non-word units ...

Automatic recovery of eye gestures from image sequences is one of the important topics for face recognition and model-based coding of videophone sequences. Usually complicated models of the eye and its motion are used. In this contribution an eye gesture parameter estimation is described. A previously published automatic eye detection/tracking algorithm, based on template matching, is used for ...

The ability of object recognition system is to recognize a large number of objects constrained by a variety of factors such as the selection of a feature extraction method, quality of the images, and the classification models. This paper presents an approach to the recognition of complex shape objects using shape representation features. The shape representation features are the disk components...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition software recognizes text characters in electronic files, usually scanned documents that are saved as images and are not immediately text-searchable. Character recognition software is also known as optical character recognition or OCR, because it uses to optical properties of text to...

Chemometrics pattern recognition approaches are applied to morphological measurements of human skeletal remains. These include modern, archaeological, and fossil individuals. Data matrices can be obtained whose columns represent measurements on vertebrae, obtained using digital image processing using a Microtomography Scanner (microCT). Approaches such as principal components analysis, principa...

The paper presents an effective and robust method of classifying binary patterns. It starts with classification of foreground pixels of binary image into several spatial classes, which is performed using morphological image processing. By performing this classification with structuring elements of increasing sizes, the spatial class distribution functions are produced. These functions are norma...