This paper presents the implementation of method of shape recognition among different regular geometrical shapes using morphological operations. Many algorithms have been proposed for this problem but the major issue that has been enlightened in this paper is over segmentation dodging among different objects. After an introduction to shape recognition concept, we describe the process of extract...

Balota et al. [Balota, D., Cortese, M., Sergent-Marshall, S., Spieler, D., & Yap, M. (2004). Visual word recognition for single-syllable words. Journal of Experimental Psychology: General, 133, 283–316] studied lexical processing in word naming and lexical decision using hierarchical multiple regression techniques for a large data set of monosyllabic, morphologically simple words. The present s...

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...

Facial expressions of emotion involve a physical component of morphological changes in a face and an affective component conveying information about the expresser's internal feelings. It remains unresolved how much recognition and discrimination of expressions rely on the perception of morphological patterns or the processing of affective content. This review of research on the role of visual a...

Climate-urban form research tends to identify vernacular (traditional) forms as a successful combination of architecture, urban design and climate. This theory, which draws a parallel between climate and adaptive urban form, is supported by the accepted common belief that harsh climates, such as hot-arid ones, confront those who live in them with unique challenges. These challenges are answered...

In this work, we present new state-ofthe-art results of 93.59% and 79.59% for Turkish and Czech named entity recognition based on the model of (Lample et al., 2016). We contribute by proposing several schemes for representing the morphological analysis of a word in the context of named entity recognition. We show that a concatenation of this representation with the word and character embeddings...

This paper includes face detection and recognition with the help of morphological shared weight neural network. Face detection is achieved with the combination of morphological hit miss operation and edge detection. Feature extraction of face image is done using Principal Component Analysis. These features are used to train the neural network. The output of neural network is compared with datab...

Protein name recognition aims to detect each and every protein names appearing in a PubMed abstract. The task is not simple, as the graphic word boundary (space separator) assumed in conventional preprocessing does not necessarily coincide with the protein name boundary. Such boundary disagreement caused by tokenization ambiguity has usually been ignored in conventional preprocessing of general...

Distinctness, Uniformity, and Stability (DUS) characterization of ninety recently evolved soybean genotypes including three national checks were carried out at JNKVV, Jabalpur, during Kharif 2021. Sixteen DUS traits evaluated as described by National test guidelines. Observations made on Hypocotyl Pigmentation, Growth type, habitat, Leaf shape, size, colour, Flower Pod hairiness, pub intensity ...