کرنا ہو کسی زن کو جب کسی غم کا ماتم
چوڑی اپنے ہاتھ کی وہ توڑ دیتی ہے
سجنا چھوڑ دیتی ہے سنورنا چھوڑ دیتی ہے
پر لاحق ہو کسی مرد کو جب کوئی غم
تو کیسے کرے وہ اس کا ماتم
چوڑی آخر وہ نہ پہنے
غم میں جس کو توڑے وہ
نہ مثلِ عورت وہ بھی سنورے
ماتم میں جس کو چھوڑے وہ
کیا کرے پھر وہ بیچارا
کس کا لے آخر سہارا
ہاں اک بات آخر ہونے لگتی ہے
کہ داڑھی اُس کی وضع کھونے لگتی ہے
جبیں پہ غم سجا لیتا ہے وہ
اور بال اپنے بڑھا لیتا ہے وہ
آؤ دیکھو تو سہی میں نے
وہ سب چلن اپنا لیے ہیں
اور بال بھی اپنے بڑھا لیے ہیں
The aim of this conceptual paper is throw light on Islamic principles for effective human resource management. A qualitative approach was applied. The extensive review of existing literature shows that Islamic principles of HRM gives due importance to manager-employee relationship which is beneficial for achieving organizational objectives. Some important and significant principles of Islamic human resource management are trust, sincerity, justice, consultation, equality, division of labour, delegation of authority and remuneration or payment of employees. Islamic management is based on mutual trust between managers and subordinates. Manager and worker should be sincere to organization. Selection and recruitment is based on merit. Justice is the most salient and important characteristics of Islamic management. Islam stresses on mutual consultation in order to resolve existing problem in the organization. Islamic principles of management are expected to benefit the organization, the employer and the employee. The study will contribute information and knowledge to the existing literature on Islamic human resource management. This study will highlight the scope and application of Islamic principles of HRM in developing effective management system.
Textual information embedded in multimedia can provide a vital tool for indexing and retrieval. Text extraction process has a lot of inherent problems due to the variation in font sizes, color, backgrounds and resolution. Text detection, localization and tracking are the most challenging phases of the text extraction process whereas text extraction results are highly dependent upon these phases. This dissertation focuses on the text detection, localization and tracking because of their very fundamental importance. A bio-inspired text detection, localization and tracking is developed and presented in the dissertation. Anthropocentric approach of text detection is studied and is mathematically modeled to design a text extraction process. A novel text segmentation method is proposed covering huge range of text scales, colors and font styles. Segmentation procedure consists of adopted K-means clustering and a fuzzy based perceptual merging process. Two effectual feature vectors are introduced for the classification of the text and non-text objects. First feature vector is based upon the human text detection system and is mathematically represented by the Radon transform of the text candidate objects. Second feature vector is derived from the detailed geometrical analysis of the text contents. Union of two feature vectors is used for the classification of text and non-text objects using Support vector machine (SVM). Fuzzy based text tracking mechanism is also introduced in the research that can handle static as well as dynamic text appearing in videos. The dynamic text includes the simple animations like vertical and horizontal scrolling, as well as the complex ones like random movement, scale change and zoom in/out. ii Text detection and localization results are evaluated on three publicly available datasets namely ICDAR 2011, ICDAR 2013 and IPC-Artificial text. Moreover, results are compared with state of the art techniques. Comparison demonstrates the superiority of the presented research. Text tracking dataset is also developed and proposed tracking algorithm is tested on the dataset that demonstrates the applicability of the proposed tracking technique.