Optimizing the accuracy of Biometric Identification and Quality Evaluation systems is crucial for their effective deployment in various applications. Handwritten text recognition, a key component of BIQE, often faces challenges due to its inherent variability. To mitigate these issues, we explore the potential of parallel processing. By analyzing a