Loai, Alamro and Yusof, Yuhanis and Yusoff, Nooraini (2024) An Algorithm for Generating Descriptive Sentences of the Human Head Parts Based on English Grammar. Journal of Theoretical and Applied Information Technology, 102 (7). pp. 2945-2953. ISSN 1992-8645

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Abstract

Human head exhibits many biological features (attributes) that represent the characteristics of the human head with robust inherent stability and individual variation. These attributes provide important discriminative knowledge about humans, such as gender, age, race, hairstyle, hair color, etc. Recently, several human head attribute classification networks have been proposed. However, these networks do not provide a clear picture of the human head because they predict head attributes in terms of binary values (i.e., 0 or 1) or by their labels (i.e., male, young). Therefore, in this study, a description algorithm was proposed to describe the main characteristics of the human head using the adjective’s arrangement rules. The proposed algorithm was reviewed by experts, and the responses of seven experts show that the algorithm follows the adjective’s arrangement rules in accordance with the conventions of human language. The experts also f

Item Type:	Article
Uncontrolled Keywords:	Human Attribute Classification, Human Attribute Description, Object Identification, Object Recognition, Deep Learning
Subjects:	P Language and Literature > PL Languages and literatures of Eastern Asia, Africa, Oceania
Divisions:	School of Computing
Depositing User:	Mr. Izhar Hj. Hashim
Date Deposited:	11 Nov 2026 06:44
Last Modified:	11 Nov 2026 06:44
URI:	https://repo.uum.edu.my/id/eprint/34816

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